id	sid	tid	token	lemma	pos
cana-786	1	1	communications	communication	NOUN
cana-786	1	2	on	on	ADP
cana-786	1	3	applied	apply	VERB
cana-786	1	4	nonlinear	nonlinear	ADJ
cana-786	1	5	analysis	analysis	NOUN
cana-786	1	6	issn	issn	NOUN
cana-786	1	7	:	:	PUNCT
cana-786	1	8	1074	1074	NUM
cana-786	1	9	-	-	PUNCT
cana-786	1	10	133x	133x	NUM
cana-786	1	11	vol	vol	NOUN
cana-786	1	12	31	31	NUM
cana-786	1	13	no	no	NOUN
cana-786	1	14	.	.	PUNCT
cana-786	2	1	3s	3s	NUM
cana-786	2	2	(	(	PUNCT
cana-786	2	3	2024	2024	NUM
cana-786	2	4	)	)	PUNCT
cana-786	2	5	355	355	NUM
cana-786	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	2	7	a	a	DET
cana-786	2	8	novel	novel	ADJ
cana-786	2	9	lightweight	lightweight	ADJ
cana-786	2	10	language	language	NOUN
cana-786	2	11	model	model	NOUN
cana-786	2	12	architecture	architecture	NOUN
cana-786	2	13	with	with	ADP
cana-786	2	14	flexible	flexible	ADJ
cana-786	2	15	parameters	parameter	NOUN
cana-786	2	16	sambit	sambit	PROPN
cana-786	2	17	chakraborty	chakraborty	PROPN
cana-786	2	18	,	,	PUNCT
cana-786	2	19	parthib	parthib	NOUN
cana-786	2	20	kumar	kumar	PROPN
cana-786	2	21	deb	deb	PROPN
cana-786	2	22	,	,	PUNCT
cana-786	2	23	soumya	soumya	PROPN
cana-786	2	24	bhattacharyya	bhattacharyya	PROPN
cana-786	2	25	,	,	PUNCT
cana-786	2	26	sourav	sourav	PROPN
cana-786	2	27	saha	saha	PROPN
cana-786	2	28	,	,	PUNCT
cana-786	2	29	shambhu	shambhu	PROPN
cana-786	2	30	nath	nath	PROPN
cana-786	2	31	saha	saha	PROPN
cana-786	2	32	narula	narula	PROPN
cana-786	2	33	institute	institute	PROPN
cana-786	2	34	of	of	ADP
cana-786	2	35	technology	technology	PROPN
cana-786	2	36	,	,	PUNCT
cana-786	2	37	kolkata	kolkata	NOUN
cana-786	2	38	article	article	NOUN
cana-786	2	39	history	history	NOUN
cana-786	2	40	:	:	PUNCT
cana-786	2	41	received	receive	VERB
cana-786	2	42	:	:	PUNCT
cana-786	2	43	08	08	NUM
cana-786	2	44	-	-	PUNCT
cana-786	2	45	04	04	NUM
cana-786	2	46	-	-	PUNCT
cana-786	2	47	2024	2024	NUM
cana-786	2	48	revised	revise	VERB
cana-786	2	49	:	:	PUNCT
cana-786	2	50	28	28	NUM
cana-786	2	51	-	-	SYM
cana-786	2	52	05	05	NUM
cana-786	2	53	-	-	PUNCT
cana-786	2	54	2024	2024	NUM
cana-786	2	55	accepted	accept	VERB
cana-786	2	56	:	:	PUNCT
cana-786	2	57	12	12	NUM
cana-786	2	58	-	-	PUNCT
cana-786	2	59	06	06	NUM
cana-786	2	60	-	-	PUNCT
cana-786	2	61	2024	2024	NUM
cana-786	2	62	abstract	abstract	NOUN
cana-786	2	63	:	:	PUNCT
cana-786	2	64	in	in	ADP
cana-786	2	65	this	this	DET
cana-786	2	66	paper	paper	NOUN
cana-786	2	67	,	,	PUNCT
cana-786	2	68	we	we	PRON
cana-786	2	69	introduce	introduce	VERB
cana-786	2	70	swiftedlm	swiftedlm	PROPN
cana-786	2	71	,	,	PUNCT
cana-786	2	72	a	a	DET
cana-786	2	73	groundbreaking	groundbreaking	ADJ
cana-786	2	74	language	language	NOUN
cana-786	2	75	model	model	NOUN
cana-786	2	76	architecture	architecture	NOUN
cana-786	2	77	that	that	PRON
cana-786	2	78	leverages	leverage	VERB
cana-786	2	79	the	the	DET
cana-786	2	80	power	power	NOUN
cana-786	2	81	of	of	ADP
cana-786	2	82	swiglu	swiglu	NOUN
cana-786	2	83	for	for	ADP
cana-786	2	84	enhanced	enhanced	ADJ
cana-786	2	85	decoding	decode	VERB
cana-786	2	86	capabilities	capability	NOUN
cana-786	2	87	.	.	PUNCT
cana-786	3	1	swiftedlm	swiftedlm	PROPN
cana-786	3	2	stands	stand	VERB
cana-786	3	3	for	for	SCONJ
cana-786	3	4	swiglu	swiglu	PROPN
cana-786	3	5	enabled	enable	VERB
cana-786	3	6	fine	fine	ADV
cana-786	3	7	-	-	PUNCT
cana-786	3	8	tuned	tune	VERB
cana-786	3	9	decoder	decoder	NOUN
cana-786	3	10	based	base	VERB
cana-786	3	11	language	language	NOUN
cana-786	3	12	model	model	NOUN
cana-786	3	13	,	,	PUNCT
cana-786	3	14	representing	represent	VERB
cana-786	3	15	a	a	DET
cana-786	3	16	fusion	fusion	NOUN
cana-786	3	17	of	of	ADP
cana-786	3	18	state	state	NOUN
cana-786	3	19	-	-	PUNCT
cana-786	3	20	of	of	ADP
cana-786	3	21	-	-	PUNCT
cana-786	3	22	the	the	DET
cana-786	3	23	-	-	PUNCT
cana-786	3	24	art	art	NOUN
cana-786	3	25	techniques	technique	NOUN
cana-786	3	26	in	in	ADP
cana-786	3	27	natural	natural	ADJ
cana-786	3	28	language	language	NOUN
cana-786	3	29	processing	processing	NOUN
cana-786	3	30	.	.	PUNCT
cana-786	4	1	our	our	PRON
cana-786	4	2	model	model	NOUN
cana-786	4	3	achieves	achieve	VERB
cana-786	4	4	superior	superior	ADJ
cana-786	4	5	performance	performance	NOUN
cana-786	4	6	through	through	ADP
cana-786	4	7	the	the	DET
cana-786	4	8	integration	integration	NOUN
cana-786	4	9	of	of	ADP
cana-786	4	10	swiglu	swiglu	PROPN
cana-786	4	11	,	,	PUNCT
cana-786	4	12	a	a	DET
cana-786	4	13	recently	recently	ADV
cana-786	4	14	developed	develop	VERB
cana-786	4	15	activation	activation	NOUN
cana-786	4	16	function	function	NOUN
cana-786	4	17	,	,	PUNCT
cana-786	4	18	enabling	enable	VERB
cana-786	4	19	more	more	ADV
cana-786	4	20	effective	effective	ADJ
cana-786	4	21	information	information	NOUN
cana-786	4	22	flow	flow	NOUN
cana-786	4	23	within	within	ADP
cana-786	4	24	the	the	DET
cana-786	4	25	decoding	decode	VERB
cana-786	4	26	mechanism	mechanism	NOUN
cana-786	4	27	.	.	PUNCT
cana-786	5	1	we	we	PRON
cana-786	5	2	conduct	conduct	VERB
cana-786	5	3	extensive	extensive	ADJ
cana-786	5	4	experiments	experiment	NOUN
cana-786	5	5	to	to	PART
cana-786	5	6	demonstrate	demonstrate	VERB
cana-786	5	7	the	the	DET
cana-786	5	8	effectiveness	effectiveness	NOUN
cana-786	5	9	of	of	ADP
cana-786	5	10	swiftedlm	swiftedlm	PROPN
cana-786	5	11	in	in	ADP
cana-786	5	12	various	various	ADJ
cana-786	5	13	language	language	NOUN
cana-786	5	14	tasks	task	NOUN
cana-786	5	15	,	,	PUNCT
cana-786	5	16	showcasing	showcase	VERB
cana-786	5	17	its	its	PRON
cana-786	5	18	ability	ability	NOUN
cana-786	5	19	to	to	PART
cana-786	5	20	challenge	challenge	VERB
cana-786	5	21	existing	exist	VERB
cana-786	5	22	models	model	NOUN
cana-786	5	23	.	.	PUNCT
cana-786	6	1	additionally	additionally	ADV
cana-786	6	2	,	,	PUNCT
cana-786	6	3	we	we	PRON
cana-786	6	4	explore	explore	VERB
cana-786	6	5	the	the	DET
cana-786	6	6	fine	fine	ADV
cana-786	6	7	-	-	PUNCT
cana-786	6	8	tuning	tune	VERB
cana-786	6	9	aspect	aspect	NOUN
cana-786	6	10	of	of	ADP
cana-786	6	11	the	the	DET
cana-786	6	12	architecture	architecture	NOUN
cana-786	6	13	,	,	PUNCT
cana-786	6	14	highlighting	highlight	VERB
cana-786	6	15	its	its	PRON
cana-786	6	16	adaptability	adaptability	NOUN
cana-786	6	17	to	to	ADP
cana-786	6	18	specific	specific	ADJ
cana-786	6	19	domains	domain	NOUN
cana-786	6	20	.	.	PUNCT
cana-786	7	1	swiftedlm	swiftedlm	ADJ
cana-786	7	2	not	not	PART
cana-786	7	3	only	only	ADV
cana-786	7	4	advances	advance	VERB
cana-786	7	5	the	the	DET
cana-786	7	6	field	field	NOUN
cana-786	7	7	of	of	ADP
cana-786	7	8	language	language	NOUN
cana-786	7	9	modeling	modeling	NOUN
cana-786	7	10	but	but	CCONJ
cana-786	7	11	also	also	ADV
cana-786	7	12	opens	open	VERB
cana-786	7	13	avenues	avenue	NOUN
cana-786	7	14	for	for	ADP
cana-786	7	15	further	further	ADJ
cana-786	7	16	exploration	exploration	NOUN
cana-786	7	17	and	and	CCONJ
cana-786	7	18	improvement	improvement	NOUN
cana-786	7	19	in	in	ADP
cana-786	7	20	natural	natural	ADJ
cana-786	7	21	language	language	NOUN
cana-786	7	22	understanding	understanding	NOUN
cana-786	7	23	and	and	CCONJ
cana-786	7	24	generation	generation	NOUN
cana-786	7	25	.	.	PUNCT
cana-786	8	1	also	also	ADV
cana-786	8	2	we	we	PRON
cana-786	8	3	have	have	AUX
cana-786	8	4	introduced	introduce	VERB
cana-786	8	5	a	a	DET
cana-786	8	6	new	new	ADJ
cana-786	8	7	pre	pre	ADJ
cana-786	8	8	-	-	ADJ
cana-786	8	9	training	training	ADJ
cana-786	8	10	method	method	NOUN
cana-786	8	11	and	and	CCONJ
cana-786	8	12	further	further	ADJ
cana-786	8	13	fine	fine	ADV
cana-786	8	14	-	-	PUNCT
cana-786	8	15	tuned	tune	VERB
cana-786	8	16	version	version	NOUN
cana-786	8	17	of	of	ADP
cana-786	8	18	the	the	DET
cana-786	8	19	model	model	NOUN
cana-786	8	20	.	.	PUNCT
cana-786	9	1	keywords	keyword	NOUN
cana-786	9	2	:	:	PUNCT
cana-786	9	3	llm	llm	NOUN
cana-786	9	4	,	,	PUNCT
cana-786	9	5	flash	flash	VERB
cana-786	9	6	attention	attention	NOUN
cana-786	9	7	,	,	PUNCT
cana-786	9	8	peft	peft	NOUN
cana-786	9	9	,	,	PUNCT
cana-786	9	10	qlora	qlora	INTJ
cana-786	9	11	,	,	PUNCT
cana-786	9	12	swiglu	swiglu	PROPN
cana-786	9	13	,	,	PUNCT
cana-786	9	14	foundational	foundational	ADJ
cana-786	9	15	model	model	NOUN
cana-786	9	16	,	,	PUNCT
cana-786	9	17	mmlu	mmlu	NOUN
cana-786	9	18	,	,	PUNCT
cana-786	9	19	humaneval	humaneval	NOUN
cana-786	9	20	,	,	PUNCT
cana-786	9	21	hellaswag	hellaswag	NOUN
cana-786	9	22	.	.	PUNCT
cana-786	10	1	1	1	X
cana-786	10	2	.	.	X
cana-786	10	3	introduction	introduction	NOUN
cana-786	10	4	in	in	ADP
cana-786	10	5	the	the	DET
cana-786	10	6	field	field	NOUN
cana-786	10	7	of	of	ADP
cana-786	10	8	large	large	ADJ
cana-786	10	9	language	language	NOUN
cana-786	10	10	models	model	NOUN
cana-786	10	11	(	(	PUNCT
cana-786	10	12	llms	llm	NOUN
cana-786	10	13	)	)	PUNCT
cana-786	10	14	,	,	PUNCT
cana-786	10	15	the	the	DET
cana-786	10	16	pursuit	pursuit	NOUN
cana-786	10	17	of	of	ADP
cana-786	10	18	innovation	innovation	NOUN
cana-786	10	19	revolves	revolve	VERB
cana-786	10	20	around	around	ADP
cana-786	10	21	the	the	DET
cana-786	10	22	dual	dual	ADJ
cana-786	10	23	objectives	objective	NOUN
cana-786	10	24	of	of	ADP
cana-786	10	25	minimizing	minimize	VERB
cana-786	10	26	model	model	NOUN
cana-786	10	27	size	size	NOUN
cana-786	10	28	,	,	PUNCT
cana-786	10	29	characterized	characterize	VERB
cana-786	10	30	by	by	ADP
cana-786	10	31	variable	variable	ADJ
cana-786	10	32	parameter	parameter	NOUN
cana-786	10	33	configurations	configuration	NOUN
cana-786	10	34	,	,	PUNCT
cana-786	10	35	while	while	SCONJ
cana-786	10	36	maintaining	maintain	VERB
cana-786	10	37	optimal	optimal	ADJ
cana-786	10	38	performance	performance	NOUN
cana-786	10	39	across	across	ADP
cana-786	10	40	a	a	DET
cana-786	10	41	spectrum	spectrum	NOUN
cana-786	10	42	of	of	ADP
cana-786	10	43	natural	natural	ADJ
cana-786	10	44	language	language	NOUN
cana-786	10	45	processing	processing	NOUN
cana-786	10	46	(	(	PUNCT
cana-786	10	47	nlp	nlp	NOUN
cana-786	10	48	)	)	PUNCT
cana-786	10	49	tasks	task	NOUN
cana-786	10	50	.	.	PUNCT
cana-786	11	1	as	as	SCONJ
cana-786	11	2	the	the	DET
cana-786	11	3	demand	demand	NOUN
cana-786	11	4	for	for	ADP
cana-786	11	5	efficient	efficient	ADJ
cana-786	11	6	language	language	NOUN
cana-786	11	7	models	model	NOUN
cana-786	11	8	continues	continue	VERB
cana-786	11	9	to	to	PART
cana-786	11	10	rise	rise	VERB
cana-786	11	11	,	,	PUNCT
cana-786	11	12	there	there	PRON
cana-786	11	13	is	be	VERB
cana-786	11	14	a	a	DET
cana-786	11	15	critical	critical	ADJ
cana-786	11	16	need	need	NOUN
cana-786	11	17	for	for	ADP
cana-786	11	18	architectures	architecture	NOUN
cana-786	11	19	that	that	PRON
cana-786	11	20	strike	strike	VERB
cana-786	11	21	an	an	DET
cana-786	11	22	equilibrium	equilibrium	NOUN
cana-786	11	23	between	between	ADP
cana-786	11	24	computational	computational	ADJ
cana-786	11	25	efficiency	efficiency	NOUN
cana-786	11	26	and	and	CCONJ
cana-786	11	27	linguistic	linguistic	ADJ
cana-786	11	28	proficiency	proficiency	NOUN
cana-786	11	29	.	.	PUNCT
cana-786	12	1	this	this	DET
cana-786	12	2	quest	quest	NOUN
cana-786	12	3	has	have	AUX
cana-786	12	4	led	lead	VERB
cana-786	12	5	to	to	ADP
cana-786	12	6	the	the	DET
cana-786	12	7	development	development	NOUN
cana-786	12	8	of	of	ADP
cana-786	12	9	swiftedlm	swiftedlm	PROPN
cana-786	12	10	(	(	PUNCT
cana-786	12	11	swiglu	swiglu	PROPN
cana-786	12	12	enabled	enable	VERB
cana-786	12	13	fine	fine	ADV
cana-786	12	14	-	-	PUNCT
cana-786	12	15	tuned	tune	VERB
cana-786	12	16	decoder	decoder	NOUN
cana-786	12	17	based	base	VERB
cana-786	12	18	language	language	NOUN
cana-786	12	19	model	model	NOUN
cana-786	12	20	)	)	PUNCT
cana-786	12	21	,	,	PUNCT
cana-786	12	22	a	a	DET
cana-786	12	23	novel	novel	ADJ
cana-786	12	24	approach	approach	NOUN
cana-786	12	25	that	that	PRON
cana-786	12	26	not	not	PART
cana-786	12	27	only	only	ADV
cana-786	12	28	addresses	address	VERB
cana-786	12	29	the	the	DET
cana-786	12	30	challenge	challenge	NOUN
cana-786	12	31	of	of	ADP
cana-786	12	32	model	model	NOUN
cana-786	12	33	size	size	NOUN
cana-786	12	34	reduction	reduction	NOUN
cana-786	12	35	but	but	CCONJ
cana-786	12	36	also	also	ADV
cana-786	12	37	elevates	elevate	VERB
cana-786	12	38	the	the	DET
cana-786	12	39	performance	performance	NOUN
cana-786	12	40	benchmarks	benchmark	NOUN
cana-786	12	41	through	through	ADP
cana-786	12	42	the	the	DET
cana-786	12	43	incorporation	incorporation	NOUN
cana-786	12	44	of	of	ADP
cana-786	12	45	swiglu	swiglu	PROPN
cana-786	12	46	,	,	PUNCT
cana-786	12	47	an	an	DET
cana-786	12	48	innovative	innovative	ADJ
cana-786	12	49	activation	activation	NOUN
cana-786	12	50	function	function	NOUN
cana-786	12	51	.	.	PUNCT
cana-786	13	1	the	the	DET
cana-786	13	2	main	main	ADJ
cana-786	13	3	motive	motive	NOUN
cana-786	13	4	of	of	ADP
cana-786	13	5	our	our	PRON
cana-786	13	6	work	work	NOUN
cana-786	13	7	is	be	AUX
cana-786	13	8	to	to	PART
cana-786	13	9	build	build	VERB
cana-786	13	10	a	a	DET
cana-786	13	11	model	model	NOUN
cana-786	13	12	which	which	PRON
cana-786	13	13	is	be	AUX
cana-786	13	14	memory	memory	NOUN
cana-786	13	15	efficient	efficient	ADJ
cana-786	13	16	,	,	PUNCT
cana-786	13	17	flexible	flexible	ADJ
cana-786	13	18	in	in	ADP
cana-786	13	19	parameters	parameter	NOUN
cana-786	13	20	count	count	VERB
cana-786	13	21	by	by	ADP
cana-786	13	22	default	default	NOUN
cana-786	13	23	and	and	CCONJ
cana-786	13	24	no	no	DET
cana-786	13	25	down	down	ADJ
cana-786	13	26	turn	turn	NOUN
cana-786	13	27	in	in	ADP
cana-786	13	28	the	the	DET
cana-786	13	29	performance	performance	NOUN
cana-786	13	30	metrics	metric	NOUN
cana-786	13	31	.	.	PUNCT
cana-786	14	1	being	be	AUX
cana-786	14	2	~60	~60	VERB
cana-786	14	3	%	%	NOUN
cana-786	14	4	smaller	small	ADJ
cana-786	14	5	than	than	ADP
cana-786	14	6	the	the	DET
cana-786	14	7	full	full	ADJ
cana-786	14	8	fledged	fledged	ADJ
cana-786	14	9	llms	llm	NOUN
cana-786	14	10	[	[	X
cana-786	14	11	3	3	X
cana-786	14	12	]	]	X
cana-786	14	13	like	like	ADP
cana-786	14	14	llama	llama	NOUN
cana-786	14	15	,	,	PUNCT
cana-786	14	16	llama2	llama2	PROPN
cana-786	14	17	,	,	PUNCT
cana-786	14	18	gpt-3/3.5/4	gpt-3/3.5/4	NOUN
cana-786	14	19	,	,	PUNCT
cana-786	14	20	palm	palm	NOUN
cana-786	14	21	,	,	PUNCT
cana-786	14	22	falcon	falcon	PROPN
cana-786	15	1	[	[	X
cana-786	15	2	2	2	NUM
cana-786	15	3	]	]	PUNCT
cana-786	15	4	,	,	PUNCT
cana-786	15	5	mistral	mistral	ADJ
cana-786	15	6	etc	etc	X
cana-786	15	7	,	,	PUNCT
cana-786	15	8	even	even	ADV
cana-786	15	9	smaller	small	ADJ
cana-786	15	10	than	than	ADP
cana-786	15	11	the	the	DET
cana-786	15	12	sml	sml	PROPN
cana-786	15	13	(	(	PUNCT
cana-786	15	14	small	small	ADJ
cana-786	15	15	language	language	NOUN
cana-786	15	16	model	model	NOUN
cana-786	15	17	)	)	PUNCT
cana-786	15	18	phi-2	phi-2	PRON
cana-786	15	19	which	which	PRON
cana-786	15	20	is	be	AUX
cana-786	15	21	excellent	excellent	ADJ
cana-786	15	22	in	in	ADP
cana-786	15	23	reasoning	reasoning	NOUN
cana-786	15	24	,	,	PUNCT
cana-786	15	25	classification	classification	NOUN
cana-786	15	26	,	,	PUNCT
cana-786	15	27	and	and	CCONJ
cana-786	15	28	other	other	ADJ
cana-786	15	29	sophisticated	sophisticated	ADJ
cana-786	15	30	nlp	nlp	NOUN
cana-786	15	31	tasks	task	NOUN
cana-786	15	32	,	,	PUNCT
cana-786	15	33	our	our	PRON
cana-786	15	34	language	language	NOUN
cana-786	15	35	model	model	NOUN
cana-786	15	36	is	be	AUX
cana-786	15	37	challenging	challenge	VERB
cana-786	15	38	all	all	PRON
cana-786	15	39	of	of	ADP
cana-786	15	40	them	they	PRON
cana-786	15	41	being	be	AUX
cana-786	15	42	at	at	ADP
cana-786	15	43	very	very	ADV
cana-786	15	44	small	small	ADJ
cana-786	15	45	parameter	parameter	NOUN
cana-786	15	46	count	count	NOUN
cana-786	15	47	.	.	PUNCT
cana-786	16	1	also	also	ADV
cana-786	16	2	focusing	focus	VERB
cana-786	16	3	on	on	ADP
cana-786	16	4	fostering	foster	VERB
cana-786	16	5	the	the	DET
cana-786	16	6	open	open	ADJ
cana-786	16	7	source	source	NOUN
cana-786	16	8	initiatives	initiative	NOUN
cana-786	16	9	,	,	PUNCT
cana-786	16	10	we	we	PRON
cana-786	16	11	’ve	’ve	AUX
cana-786	16	12	generated	generate	VERB
cana-786	16	13	an	an	DET
cana-786	16	14	openly	openly	ADV
cana-786	16	15	accessible	accessible	ADJ
cana-786	16	16	fine	fine	ADJ
cana-786	16	17	tuned	tune	VERB
cana-786	16	18	model	model	NOUN
cana-786	16	19	for	for	ADP
cana-786	16	20	the	the	DET
cana-786	16	21	baseline	baseline	NOUN
cana-786	16	22	assistant	assistant	NOUN
cana-786	16	23	for	for	ADP
cana-786	16	24	dental	dental	ADJ
cana-786	16	25	clinics	clinic	NOUN
cana-786	16	26	named	name	VERB
cana-786	16	27	chatbox	chatbox	PROPN
cana-786	16	28	,	,	PUNCT
cana-786	16	29	which	which	PRON
cana-786	16	30	can	can	AUX
cana-786	16	31	be	be	AUX
cana-786	16	32	fine	fine	ADJ
cana-786	16	33	tuned	tune	VERB
cana-786	16	34	further	far	ADV
cana-786	16	35	for	for	ADP
cana-786	16	36	more	more	ADV
cana-786	16	37	specific	specific	ADJ
cana-786	16	38	use	use	NOUN
cana-786	16	39	.	.	PUNCT
cana-786	17	1	communications	communication	NOUN
cana-786	17	2	on	on	ADP
cana-786	17	3	applied	apply	VERB
cana-786	17	4	nonlinear	nonlinear	ADJ
cana-786	17	5	analysis	analysis	NOUN
cana-786	17	6	issn	issn	NOUN
cana-786	17	7	:	:	PUNCT
cana-786	17	8	1074	1074	NUM
cana-786	17	9	-	-	PUNCT
cana-786	17	10	133x	133x	NUM
cana-786	17	11	vol	vol	NOUN
cana-786	17	12	31	31	NUM
cana-786	17	13	no	no	NOUN
cana-786	17	14	.	.	PUNCT
cana-786	18	1	3s	3s	NUM
cana-786	18	2	(	(	PUNCT
cana-786	18	3	2024	2024	NUM
cana-786	18	4	)	)	PUNCT
cana-786	18	5	356	356	NUM
cana-786	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	18	7	as	as	SCONJ
cana-786	18	8	we	we	PRON
cana-786	18	9	have	have	AUX
cana-786	18	10	seen	see	VERB
cana-786	18	11	for	for	ADP
cana-786	18	12	the	the	DET
cana-786	18	13	trend	trend	NOUN
cana-786	18	14	of	of	ADP
cana-786	18	15	using	use	VERB
cana-786	18	16	private	private	ADJ
cana-786	18	17	datasets	dataset	NOUN
cana-786	18	18	for	for	ADP
cana-786	18	19	training	training	NOUN
cana-786	18	20	gpt	gpt	NOUN
cana-786	18	21	,	,	PUNCT
cana-786	18	22	palm	palm	NOUN
cana-786	18	23	etc	etc	X
cana-786	18	24	,	,	PUNCT
cana-786	18	25	rather	rather	ADV
cana-786	18	26	we	we	PRON
cana-786	18	27	’ve	’ve	AUX
cana-786	18	28	used	use	VERB
cana-786	18	29	the	the	DET
cana-786	18	30	same	same	ADJ
cana-786	18	31	publicly	publicly	ADV
cana-786	18	32	available	available	ADJ
cana-786	18	33	dataset	dataset	NOUN
cana-786	18	34	with	with	ADP
cana-786	18	35	which	which	PRON
cana-786	18	36	the	the	DET
cana-786	18	37	falcon	falcon	NOUN
cana-786	18	38	model	model	NOUN
cana-786	18	39	is	be	AUX
cana-786	18	40	trained	train	VERB
cana-786	18	41	,	,	PUNCT
cana-786	18	42	and	and	CCONJ
cana-786	18	43	for	for	ADP
cana-786	18	44	extension	extension	NOUN
cana-786	18	45	of	of	ADP
cana-786	18	46	the	the	DET
cana-786	18	47	knowledge	knowledge	NOUN
cana-786	18	48	of	of	ADP
cana-786	18	49	the	the	DET
cana-786	18	50	dental	dental	ADJ
cana-786	18	51	science	science	NOUN
cana-786	18	52	,	,	PUNCT
cana-786	18	53	we	we	PRON
cana-786	18	54	’ve	’ve	AUX
cana-786	18	55	incorporated	incorporate	VERB
cana-786	18	56	the	the	DET
cana-786	18	57	curated	curate	VERB
cana-786	18	58	dataset	dataset	NOUN
cana-786	18	59	for	for	ADP
cana-786	18	60	dental	dental	ADJ
cana-786	18	61	science	science	NOUN
cana-786	18	62	,	,	PUNCT
cana-786	18	63	making	make	VERB
cana-786	18	64	our	our	PRON
cana-786	18	65	model	model	NOUN
cana-786	18	66	to	to	PART
cana-786	18	67	challenge	challenge	VERB
cana-786	18	68	the	the	DET
cana-786	18	69	existing	exist	VERB
cana-786	18	70	models	model	NOUN
cana-786	18	71	,	,	PUNCT
cana-786	18	72	while	while	SCONJ
cana-786	18	73	merely	merely	ADV
cana-786	18	74	surpassing	surpass	VERB
cana-786	18	75	few	few	ADJ
cana-786	18	76	of	of	ADP
cana-786	18	77	them	they	PRON
cana-786	18	78	in	in	ADP
cana-786	18	79	few	few	ADJ
cana-786	18	80	benchmarks	benchmark	NOUN
cana-786	18	81	.	.	PUNCT
cana-786	19	1	during	during	ADP
cana-786	19	2	the	the	DET
cana-786	19	3	rest	rest	NOUN
cana-786	19	4	of	of	ADP
cana-786	19	5	the	the	DET
cana-786	19	6	paper	paper	NOUN
cana-786	19	7	,	,	PUNCT
cana-786	19	8	we	we	PRON
cana-786	19	9	’ll	’ll	AUX
cana-786	19	10	discuss	discuss	VERB
cana-786	19	11	the	the	DET
cana-786	19	12	modifications	modification	NOUN
cana-786	19	13	we	we	PRON
cana-786	19	14	made	make	VERB
cana-786	19	15	to	to	ADP
cana-786	19	16	the	the	DET
cana-786	19	17	gpt	gpt	NOUN
cana-786	19	18	architecture	architecture	NOUN
cana-786	19	19	and	and	CCONJ
cana-786	19	20	the	the	DET
cana-786	19	21	new	new	ADJ
cana-786	19	22	training	training	NOUN
cana-786	19	23	method	method	NOUN
cana-786	19	24	we	we	PRON
cana-786	19	25	’ve	’ve	AUX
cana-786	19	26	used	use	VERB
cana-786	19	27	.	.	PUNCT
cana-786	20	1	also	also	ADV
cana-786	20	2	we	we	PRON
cana-786	20	3	will	will	AUX
cana-786	20	4	discuss	discuss	VERB
cana-786	20	5	the	the	DET
cana-786	20	6	modifications	modification	NOUN
cana-786	20	7	made	make	VERB
cana-786	20	8	to	to	ADP
cana-786	20	9	the	the	DET
cana-786	20	10	dataset	dataset	NOUN
cana-786	20	11	.	.	PUNCT
cana-786	21	1	2	2	X
cana-786	21	2	.	.	X
cana-786	21	3	methodology	methodology	NOUN
cana-786	21	4	&	&	CCONJ
cana-786	21	5	approach	approach	NOUN
cana-786	21	6	in	in	ADP
cana-786	21	7	our	our	PRON
cana-786	21	8	case	case	NOUN
cana-786	21	9	,	,	PUNCT
cana-786	21	10	we	we	PRON
cana-786	21	11	’ve	’ve	AUX
cana-786	21	12	entirely	entirely	ADV
cana-786	21	13	modified	modify	VERB
cana-786	21	14	the	the	DET
cana-786	21	15	training	training	NOUN
cana-786	21	16	architecture	architecture	NOUN
cana-786	21	17	,	,	PUNCT
cana-786	21	18	to	to	PART
cana-786	21	19	make	make	VERB
cana-786	21	20	the	the	DET
cana-786	21	21	mode	mode	NOUN
cana-786	21	22	enabled	enable	VERB
cana-786	21	23	for	for	ADP
cana-786	21	24	pre	pre	ADJ
cana-786	21	25	-	-	NOUN
cana-786	21	26	training	training	NOUN
cana-786	21	27	and	and	CCONJ
cana-786	21	28	later	later	ADV
cana-786	21	29	fine	fine	ADJ
cana-786	21	30	tuned	tune	VERB
cana-786	21	31	on	on	ADP
cana-786	21	32	a	a	DET
cana-786	21	33	single	single	ADJ
cana-786	21	34	nvidia	nvidia	PROPN
cana-786	21	35	v100	v100	PROPN
cana-786	21	36	tensor	tensor	NOUN
cana-786	21	37	gpu	gpu	NOUN
cana-786	21	38	despite	despite	SCONJ
cana-786	21	39	of	of	ADP
cana-786	21	40	dataset	dataset	ADJ
cana-786	21	41	size	size	NOUN
cana-786	21	42	and	and	CCONJ
cana-786	21	43	parameter	parameter	NOUN
cana-786	21	44	count	count	NOUN
cana-786	21	45	and	and	CCONJ
cana-786	21	46	setting	set	VERB
cana-786	21	47	up	up	ADP
cana-786	21	48	the	the	DET
cana-786	21	49	inference	inference	NOUN
cana-786	21	50	on	on	ADP
cana-786	21	51	the	the	DET
cana-786	21	52	much	much	ADV
cana-786	21	53	lower	low	ADJ
cana-786	21	54	gpu	gpu	NOUN
cana-786	21	55	power	power	NOUN
cana-786	21	56	(	(	PUNCT
cana-786	21	57	like	like	ADP
cana-786	21	58	igpus	igpus	NOUN
cana-786	21	59	)	)	PUNCT
cana-786	21	60	using	use	VERB
cana-786	21	61	the	the	DET
cana-786	21	62	cpu	cpu	NOUN
cana-786	21	63	paging	page	VERB
cana-786	21	64	effectively	effectively	ADV
cana-786	21	65	.	.	PUNCT
cana-786	22	1	2.1	2.1	NUM
cana-786	22	2	dataset	dataset	VERB
cana-786	22	3	the	the	DET
cana-786	22	4	dataset	dataset	NOUN
cana-786	22	5	we	we	PRON
cana-786	22	6	’ve	’ve	AUX
cana-786	22	7	taken	take	VERB
cana-786	22	8	is	be	AUX
cana-786	22	9	refinedweb	refinedweb	ADJ
cana-786	22	10	,	,	PUNCT
cana-786	22	11	the	the	DET
cana-786	22	12	exact	exact	ADJ
cana-786	22	13	dataset	dataset	VERB
cana-786	22	14	through	through	ADP
cana-786	22	15	which	which	PRON
cana-786	22	16	the	the	DET
cana-786	22	17	falcon	falcon	NOUN
cana-786	22	18	is	be	AUX
cana-786	22	19	trained	train	VERB
cana-786	22	20	,	,	PUNCT
cana-786	22	21	but	but	CCONJ
cana-786	22	22	we	we	PRON
cana-786	22	23	’ve	’ve	AUX
cana-786	22	24	incorporated	incorporate	VERB
cana-786	22	25	a	a	DET
cana-786	22	26	new	new	ADJ
cana-786	22	27	dataset	dataset	NOUN
cana-786	22	28	called	call	VERB
cana-786	22	29	chatbox	chatbox	PROPN
cana-786	22	30	-	-	PUNCT
cana-786	22	31	faq	faq	NOUN
cana-786	22	32	.	.	PUNCT
cana-786	23	1	refinedweb	refinedweb	PROPN
cana-786	23	2	-	-	PROPN
cana-786	23	3	english	english	PROPN
cana-786	23	4	[	[	X
cana-786	23	5	75	75	NUM
cana-786	23	6	%	%	NOUN
cana-786	23	7	]	]	PUNCT
cana-786	24	1	this	this	DET
cana-786	24	2	dataset	dataset	NOUN
cana-786	24	3	is	be	AUX
cana-786	24	4	fully	fully	ADV
cana-786	24	5	based	base	VERB
cana-786	24	6	on	on	ADP
cana-786	24	7	the	the	DET
cana-786	24	8	commoncrawl	commoncrawl	NOUN
cana-786	24	9	dataset	dataset	NOUN
cana-786	24	10	,	,	PUNCT
cana-786	24	11	which	which	PRON
cana-786	24	12	includes	include	VERB
cana-786	24	13	the	the	DET
cana-786	24	14	data	datum	NOUN
cana-786	24	15	up	up	ADP
cana-786	24	16	to	to	ADP
cana-786	24	17	2022	2022	NUM
cana-786	24	18	,	,	PUNCT
cana-786	24	19	enabled	enable	VERB
cana-786	24	20	with	with	ADP
cana-786	24	21	the	the	DET
cana-786	24	22	macrodata	macrodata	PROPN
cana-786	24	23	refinement	refinement	PROPN
cana-786	24	24	pipeline	pipeline	NOUN
cana-786	24	25	,	,	PUNCT
cana-786	24	26	relying	rely	VERB
cana-786	24	27	on	on	ADP
cana-786	24	28	the	the	DET
cana-786	24	29	content	content	NOUN
cana-786	24	30	extraction	extraction	NOUN
cana-786	24	31	,	,	PUNCT
cana-786	24	32	heuristics	heuristic	NOUN
cana-786	24	33	and	and	CCONJ
cana-786	24	34	advanced	advanced	ADJ
cana-786	24	35	deduplication	deduplication	NOUN
cana-786	24	36	.	.	PUNCT
cana-786	25	1	refinedweb	refinedweb	PROPN
cana-786	25	2	-	-	PROPN
cana-786	25	3	europe	europe	PROPN
cana-786	26	1	[	[	X
cana-786	26	2	7	7	NUM
cana-786	26	3	%	%	NOUN
cana-786	26	4	]	]	PUNCT
cana-786	27	1	this	this	DET
cana-786	27	2	dataset	dataset	NOUN
cana-786	27	3	is	be	AUX
cana-786	27	4	the	the	DET
cana-786	27	5	result	result	NOUN
cana-786	27	6	of	of	ADP
cana-786	27	7	a	a	DET
cana-786	27	8	massive	massive	ADJ
cana-786	27	9	web	web	NOUN
cana-786	27	10	crawl	crawl	NOUN
cana-786	27	11	originated	originate	VERB
cana-786	27	12	in	in	ADP
cana-786	27	13	europe	europe	PROPN
cana-786	27	14	region	region	NOUN
cana-786	27	15	.	.	PUNCT
cana-786	28	1	to	to	PART
cana-786	28	2	make	make	VERB
cana-786	28	3	the	the	DET
cana-786	28	4	model	model	NOUN
cana-786	28	5	multilingual	multilingual	NOUN
cana-786	28	6	with	with	ADP
cana-786	28	7	the	the	DET
cana-786	28	8	most	most	ADV
cana-786	28	9	spoken	spoken	ADJ
cana-786	28	10	languages	language	NOUN
cana-786	28	11	in	in	ADP
cana-786	28	12	the	the	DET
cana-786	28	13	world	world	NOUN
cana-786	28	14	,	,	PUNCT
cana-786	28	15	as	as	SCONJ
cana-786	28	16	we	we	PRON
cana-786	28	17	are	be	AUX
cana-786	28	18	in	in	ADP
cana-786	28	19	the	the	DET
cana-786	28	20	very	very	ADV
cana-786	28	21	first	first	ADJ
cana-786	28	22	stage	stage	NOUN
cana-786	28	23	,	,	PUNCT
cana-786	28	24	we	we	PRON
cana-786	28	25	have	have	AUX
cana-786	28	26	decided	decide	VERB
cana-786	28	27	to	to	PART
cana-786	28	28	incorporate	incorporate	VERB
cana-786	28	29	the	the	DET
cana-786	28	30	multilingual	multilingual	ADJ
cana-786	28	31	data	datum	NOUN
cana-786	28	32	.	.	PUNCT
cana-786	29	1	language	language	NOUN
cana-786	29	2	proportion	proportion	NOUN
cana-786	29	3	token	token	VERB
cana-786	29	4	count	count	NOUN
cana-786	29	5	german	german	ADJ
cana-786	29	6	26	26	NUM
cana-786	29	7	%	%	NOUN
cana-786	29	8	18b	18b	NUM
cana-786	29	9	spanish	spanish	ADJ
cana-786	29	10	24	24	NUM
cana-786	29	11	%	%	NOUN
cana-786	29	12	17b	17b	NOUN
cana-786	29	13	french	french	ADJ
cana-786	29	14	23	23	NUM
cana-786	29	15	%	%	NOUN
cana-786	29	16	16b	16b	PROPN
cana-786	29	17	italian	italian	ADJ
cana-786	29	18	7	7	NUM
cana-786	29	19	%	%	NOUN
cana-786	29	20	5b	5b	NUM
cana-786	29	21	portuguese	portuguese	ADJ
cana-786	29	22	4	4	NUM
cana-786	29	23	%	%	NOUN
cana-786	29	24	3b	3b	NOUN
cana-786	29	25	polish	polish	NOUN
cana-786	29	26	4	4	NUM
cana-786	29	27	%	%	NOUN
cana-786	29	28	3b	3b	NOUN
cana-786	29	29	dutch	dutch	NOUN
cana-786	29	30	4	4	NUM
cana-786	29	31	%	%	NOUN
cana-786	30	1	3b	3b	NOUN
cana-786	30	2	romanian	romanian	ADJ
cana-786	30	3	3	3	NUM
cana-786	30	4	%	%	NOUN
cana-786	30	5	2b	2b	NOUN
cana-786	30	6	czech	czech	ADJ
cana-786	30	7	3	3	NUM
cana-786	30	8	%	%	NOUN
cana-786	30	9	2b	2b	NOUN
cana-786	30	10	swedish	swedish	ADJ
cana-786	30	11	2	2	NUM
cana-786	30	12	%	%	NOUN
cana-786	30	13	1b	1b	NUM
cana-786	30	14	communications	communication	NOUN
cana-786	30	15	on	on	ADP
cana-786	30	16	applied	apply	VERB
cana-786	30	17	nonlinear	nonlinear	ADJ
cana-786	30	18	analysis	analysis	NOUN
cana-786	30	19	issn	issn	NOUN
cana-786	30	20	:	:	PUNCT
cana-786	30	21	1074	1074	NUM
cana-786	30	22	-	-	PUNCT
cana-786	30	23	133x	133x	NUM
cana-786	30	24	vol	vol	NOUN
cana-786	30	25	31	31	NUM
cana-786	30	26	no	no	NOUN
cana-786	30	27	.	.	PUNCT
cana-786	31	1	3s	3s	NUM
cana-786	31	2	(	(	PUNCT
cana-786	31	3	2024	2024	NUM
cana-786	31	4	)	)	PUNCT
cana-786	31	5	357	357	NUM
cana-786	31	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	31	7	books	book	NOUN
cana-786	32	1	[	[	X
cana-786	32	2	5	5	NUM
cana-786	32	3	%	%	NOUN
cana-786	32	4	]	]	PUNCT
cana-786	33	1	we	we	PRON
cana-786	33	2	’ve	’ve	AUX
cana-786	33	3	incorporated	incorporate	VERB
cana-786	33	4	the	the	DET
cana-786	33	5	following	follow	VERB
cana-786	33	6	book	book	NOUN
cana-786	33	7	corpora	corpora	NOUN
cana-786	34	1	[	[	X
cana-786	34	2	same	same	ADJ
cana-786	34	3	as	as	SCONJ
cana-786	34	4	used	use	VERB
cana-786	34	5	in	in	ADP
cana-786	34	6	the	the	DET
cana-786	34	7	llama	llama	NOUN
cana-786	34	8	]	]	PUNCT
cana-786	34	9	:	:	PUNCT
cana-786	34	10	i.	i.	PROPN
cana-786	34	11	the	the	DET
cana-786	34	12	gutenberg	gutenberg	PROPN
cana-786	34	13	project	project	NOUN
cana-786	34	14	,	,	PUNCT
cana-786	34	15	which	which	PRON
cana-786	34	16	contains	contain	VERB
cana-786	34	17	the	the	DET
cana-786	34	18	publicly	publicly	ADV
cana-786	34	19	available	available	ADJ
cana-786	34	20	books	book	NOUN
cana-786	34	21	on	on	ADP
cana-786	34	22	the	the	DET
cana-786	34	23	domains	domain	NOUN
cana-786	34	24	;	;	PUNCT
cana-786	34	25	ii	ii	NOUN
cana-786	34	26	.	.	PUNCT
cana-786	35	1	books3	books3	PROPN
cana-786	35	2	of	of	ADP
cana-786	35	3	thepile	thepile	NOUN
cana-786	35	4	dataset	dataset	VERB
cana-786	35	5	,	,	PUNCT
cana-786	35	6	publicly	publicly	ADV
cana-786	35	7	available	available	ADJ
cana-786	35	8	.	.	PUNCT
cana-786	36	1	conversational	conversational	ADJ
cana-786	36	2	ability	ability	NOUN
cana-786	36	3	[	[	PUNCT
cana-786	36	4	5	5	NUM
cana-786	36	5	%	%	NOUN
cana-786	36	6	]	]	PUNCT
cana-786	36	7	we	we	PRON
cana-786	36	8	’ve	’ve	AUX
cana-786	36	9	crawled	crawl	VERB
cana-786	36	10	the	the	DET
cana-786	36	11	reddit	reddit	NOUN
cana-786	36	12	,	,	PUNCT
cana-786	36	13	stackoverflow	stackoverflow	ADJ
cana-786	36	14	,	,	PUNCT
cana-786	36	15	hackernews	hackernew	NOUN
cana-786	36	16	thread	thread	NOUN
cana-786	36	17	to	to	PART
cana-786	36	18	collect	collect	VERB
cana-786	36	19	the	the	DET
cana-786	36	20	most	most	ADV
cana-786	36	21	active	active	ADJ
cana-786	36	22	posts	post	NOUN
cana-786	36	23	and	and	CCONJ
cana-786	36	24	the	the	DET
cana-786	36	25	entire	entire	ADJ
cana-786	36	26	conversations	conversation	NOUN
cana-786	36	27	of	of	ADP
cana-786	36	28	those	those	DET
cana-786	36	29	posts	post	NOUN
cana-786	36	30	,	,	PUNCT
cana-786	36	31	to	to	PART
cana-786	36	32	gather	gather	VERB
cana-786	36	33	the	the	DET
cana-786	36	34	context	context	NOUN
cana-786	36	35	,	,	PUNCT
cana-786	36	36	with	with	ADP
cana-786	36	37	80	80	NUM
cana-786	36	38	%	%	NOUN
cana-786	36	39	deduplication	deduplication	NOUN
cana-786	36	40	of	of	ADP
cana-786	36	41	contents	content	NOUN
cana-786	36	42	matching	match	VERB
cana-786	36	43	.	.	PUNCT
cana-786	37	1	source	source	NOUN
cana-786	37	2	code	code	NOUN
cana-786	38	1	[	[	X
cana-786	38	2	5	5	NUM
cana-786	38	3	%	%	NOUN
cana-786	38	4	]	]	PUNCT
cana-786	39	1	we	we	PRON
cana-786	39	2	’ve	’ve	AUX
cana-786	39	3	used	use	VERB
cana-786	39	4	the	the	DET
cana-786	39	5	github	github	PROPN
cana-786	39	6	section	section	NOUN
cana-786	39	7	of	of	ADP
cana-786	39	8	thepile	thepile	NOUN
cana-786	39	9	dataset	dataset	VERB
cana-786	39	10	,	,	PUNCT
cana-786	39	11	publicly	publicly	ADV
cana-786	39	12	available	available	ADJ
cana-786	39	13	.	.	PUNCT
cana-786	40	1	following	follow	VERB
cana-786	40	2	the	the	DET
cana-786	40	3	method	method	NOUN
cana-786	40	4	used	use	VERB
cana-786	40	5	in	in	ADP
cana-786	40	6	llama	llama	NOUN
cana-786	40	7	,	,	PUNCT
cana-786	40	8	we	we	PRON
cana-786	40	9	’ve	’ve	AUX
cana-786	40	10	removed	remove	VERB
cana-786	40	11	the	the	DET
cana-786	40	12	boilerplates	boilerplate	NOUN
cana-786	40	13	and	and	CCONJ
cana-786	40	14	low	low	ADJ
cana-786	40	15	quality	quality	NOUN
cana-786	40	16	code	code	NOUN
cana-786	40	17	files	file	NOUN
cana-786	40	18	to	to	PART
cana-786	40	19	make	make	VERB
cana-786	40	20	the	the	DET
cana-786	40	21	model	model	NOUN
cana-786	40	22	highly	highly	ADV
cana-786	40	23	capable	capable	ADJ
cana-786	40	24	enough	enough	ADV
cana-786	40	25	to	to	PART
cana-786	40	26	generate	generate	VERB
cana-786	40	27	the	the	DET
cana-786	40	28	industry	industry	NOUN
cana-786	40	29	standard	standard	ADJ
cana-786	40	30	codes	code	NOUN
cana-786	40	31	and	and	CCONJ
cana-786	40	32	to	to	PART
cana-786	40	33	be	be	AUX
cana-786	40	34	a	a	DET
cana-786	40	35	better	well	ADJ
cana-786	40	36	pair	pair	NOUN
cana-786	40	37	programmer	programmer	NOUN
cana-786	40	38	.	.	PUNCT
cana-786	41	1	technology	technology	NOUN
cana-786	41	2	(	(	PUNCT
cana-786	41	3	arxiv	arxiv	PROPN
cana-786	41	4	,	,	PUNCT
cana-786	41	5	pubmed	pubmed	PROPN
cana-786	41	6	abstracts	abstract	NOUN
cana-786	41	7	,	,	PUNCT
cana-786	41	8	uspto	uspto	NOUN
cana-786	41	9	)	)	PUNCT
cana-786	42	1	[	[	X
cana-786	42	2	2	2	NUM
cana-786	42	3	%	%	NOUN
cana-786	42	4	]	]	PUNCT
cana-786	42	5	we	we	PRON
cana-786	42	6	’ve	’ve	AUX
cana-786	42	7	used	use	VERB
cana-786	42	8	the	the	DET
cana-786	42	9	above	above	ADV
cana-786	42	10	mentioned	mention	VERB
cana-786	42	11	sections	section	NOUN
cana-786	42	12	of	of	ADP
cana-786	42	13	thepile	thepile	NOUN
cana-786	42	14	dataset	dataset	VERB
cana-786	42	15	,	,	PUNCT
cana-786	42	16	and	and	CCONJ
cana-786	42	17	ran	run	VERB
cana-786	42	18	the	the	DET
cana-786	42	19	deduplication	deduplication	NOUN
cana-786	42	20	method	method	NOUN
cana-786	42	21	as	as	ADP
cana-786	42	22	the	the	DET
cana-786	42	23	llama	llama	NOUN
cana-786	42	24	,	,	PUNCT
cana-786	42	25	also	also	ADV
cana-786	42	26	removed	remove	VERB
cana-786	42	27	the	the	DET
cana-786	42	28	bibliography	bibliography	NOUN
cana-786	42	29	and	and	CCONJ
cana-786	42	30	comment	comment	NOUN
cana-786	42	31	sections	section	NOUN
cana-786	42	32	,	,	PUNCT
cana-786	42	33	to	to	PART
cana-786	42	34	get	get	VERB
cana-786	42	35	the	the	DET
cana-786	42	36	model	model	NOUN
cana-786	42	37	focused	focus	VERB
cana-786	42	38	on	on	ADP
cana-786	42	39	the	the	DET
cana-786	42	40	publication	publication	NOUN
cana-786	42	41	context	context	NOUN
cana-786	42	42	and	and	CCONJ
cana-786	42	43	underlying	underlying	ADJ
cana-786	42	44	technologies	technology	NOUN
cana-786	42	45	only	only	ADV
cana-786	42	46	.	.	PUNCT
cana-786	43	1	chatbox	chatbox	NOUN
cana-786	43	2	-	-	PUNCT
cana-786	43	3	faq	faq	NOUN
cana-786	44	1	[	[	X
cana-786	44	2	1	1	NUM
cana-786	44	3	%	%	NOUN
cana-786	44	4	]	]	PUNCT
cana-786	44	5	this	this	PRON
cana-786	44	6	corpora	corpora	VERB
cana-786	44	7	we	we	PRON
cana-786	44	8	’ve	’ve	AUX
cana-786	44	9	curated	curate	VERB
cana-786	44	10	for	for	ADP
cana-786	44	11	making	make	VERB
cana-786	44	12	our	our	PRON
cana-786	44	13	finetune	finetune	NOUN
cana-786	44	14	task	task	NOUN
cana-786	44	15	more	more	ADV
cana-786	44	16	easy	easy	ADV
cana-786	44	17	as	as	SCONJ
cana-786	44	18	we	we	PRON
cana-786	44	19	fed	feed	VERB
cana-786	44	20	it	it	PRON
cana-786	44	21	to	to	ADP
cana-786	44	22	the	the	DET
cana-786	44	23	model	model	NOUN
cana-786	44	24	while	while	SCONJ
cana-786	44	25	pre	pre	ADJ
cana-786	44	26	-	-	NOUN
cana-786	44	27	training	training	NOUN
cana-786	44	28	,	,	PUNCT
cana-786	44	29	and	and	CCONJ
cana-786	44	30	making	make	VERB
cana-786	44	31	the	the	DET
cana-786	44	32	model	model	NOUN
cana-786	44	33	more	more	ADV
cana-786	44	34	aware	aware	ADJ
cana-786	44	35	about	about	ADP
cana-786	44	36	the	the	DET
cana-786	44	37	dental	dental	ADJ
cana-786	44	38	science	science	NOUN
cana-786	44	39	and	and	CCONJ
cana-786	44	40	institution	institution	NOUN
cana-786	44	41	.	.	PUNCT
cana-786	45	1	the	the	DET
cana-786	45	2	entire	entire	ADJ
cana-786	45	3	dataset	dataset	NOUN
cana-786	45	4	contains	contain	VERB
cana-786	45	5	around	around	ADP
cana-786	45	6	3500b	3500b	NOUN
cana-786	45	7	tokens	token	NOUN
cana-786	45	8	after	after	ADP
cana-786	45	9	the	the	DET
cana-786	45	10	tokenization	tokenization	NOUN
cana-786	45	11	process	process	NOUN
cana-786	45	12	,	,	PUNCT
cana-786	45	13	which	which	PRON
cana-786	45	14	will	will	AUX
cana-786	45	15	be	be	AUX
cana-786	45	16	discussed	discuss	VERB
cana-786	45	17	in	in	ADP
cana-786	45	18	later	later	ADJ
cana-786	45	19	sections	section	NOUN
cana-786	45	20	.	.	PUNCT
cana-786	46	1	data	datum	NOUN
cana-786	46	2	proportion	proportion	NOUN
cana-786	46	3	token	token	VERB
cana-786	46	4	count	count	PROPN
cana-786	46	5	source	source	NOUN
cana-786	46	6	refinedwebenglish	refinedwebenglish	ADJ
cana-786	46	7	75	75	NUM
cana-786	46	8	%	%	NOUN
cana-786	46	9	750b	750b	NUM
cana-786	46	10	massive	massive	ADJ
cana-786	46	11	web	web	NOUN
cana-786	46	12	crawl	crawl	NOUN
cana-786	46	13	(	(	PUNCT
cana-786	46	14	based	base	VERB
cana-786	46	15	on	on	ADP
cana-786	46	16	commoncrawl	commoncrawl	NOUN
cana-786	46	17	dump	dump	NOUN
cana-786	46	18	)	)	PUNCT
cana-786	46	19	refinedwebeurope	refinedwebeurope	NOUN
cana-786	46	20	7	7	NUM
cana-786	46	21	%	%	NOUN
cana-786	46	22	70b	70b	NOUN
cana-786	46	23	web	web	NOUN
cana-786	46	24	crawl	crawl	NOUN
cana-786	46	25	on	on	ADP
cana-786	46	26	publicly	publicly	ADV
cana-786	46	27	available	available	ADJ
cana-786	46	28	websites	website	NOUN
cana-786	46	29	of	of	ADP
cana-786	46	30	europe	europe	PROPN
cana-786	46	31	books	book	VERB
cana-786	46	32	5	5	NUM
cana-786	46	33	%	%	NOUN
cana-786	46	34	50b	50b	NUM
cana-786	46	35	the	the	DET
cana-786	46	36	gutenberg	gutenberg	PROPN
cana-786	46	37	project	project	NOUN
cana-786	46	38	,	,	PUNCT
cana-786	46	39	books3	books3	NOUN
cana-786	46	40	conversational	conversational	ADJ
cana-786	46	41	ability	ability	NOUN
cana-786	46	42	5	5	NUM
cana-786	46	43	%	%	NOUN
cana-786	46	44	50b	50b	NUM
cana-786	46	45	reddit	reddit	NOUN
cana-786	46	46	,	,	PUNCT
cana-786	46	47	stackoverflow	stackoverflow	ADJ
cana-786	46	48	,	,	PUNCT
cana-786	46	49	hackernews	hackernew	NOUN
cana-786	46	50	source	source	NOUN
cana-786	46	51	code	code	NOUN
cana-786	46	52	5	5	NUM
cana-786	46	53	%	%	NOUN
cana-786	46	54	50b	50b	NUM
cana-786	46	55	github	github	PROPN
cana-786	46	56	technology	technology	NOUN
cana-786	46	57	2	2	NUM
cana-786	46	58	%	%	NOUN
cana-786	46	59	20b	20b	NOUN
cana-786	46	60	arxiv	arxiv	PROPN
cana-786	46	61	,	,	PUNCT
cana-786	46	62	pubmed	pubmed	PROPN
cana-786	46	63	,	,	PUNCT
cana-786	46	64	uspto	uspto	PROPN
cana-786	46	65	chatbox	chatbox	PROPN
cana-786	46	66	-	-	PUNCT
cana-786	46	67	faq	faq	NOUN
cana-786	46	68	1	1	NUM
cana-786	46	69	%	%	NOUN
cana-786	46	70	10b	10b	NOUN
cana-786	46	71	dental	dental	ADJ
cana-786	46	72	science	science	NOUN
cana-786	46	73	2.2	2.2	NUM
cana-786	46	74	architecture	architecture	NOUN
cana-786	46	75	we	we	PRON
cana-786	46	76	’re	’re	AUX
cana-786	46	77	deeply	deeply	ADV
cana-786	46	78	inspired	inspire	VERB
cana-786	46	79	by	by	ADP
cana-786	46	80	the	the	DET
cana-786	46	81	gpt	gpt	NOUN
cana-786	46	82	architecture	architecture	NOUN
cana-786	46	83	and	and	CCONJ
cana-786	46	84	obviously	obviously	ADV
cana-786	46	85	our	our	PRON
cana-786	46	86	network	network	NOUN
cana-786	46	87	is	be	AUX
cana-786	46	88	also	also	ADV
cana-786	46	89	based	base	VERB
cana-786	46	90	on	on	ADP
cana-786	46	91	the	the	DET
cana-786	46	92	transformer	transformer	NOUN
cana-786	46	93	[	[	X
cana-786	46	94	5	5	NUM
cana-786	46	95	]	]	PUNCT
cana-786	46	96	architecture	architecture	NOUN
cana-786	46	97	.	.	PUNCT
cana-786	47	1	but	but	CCONJ
cana-786	47	2	as	as	ADP
cana-786	47	3	per	per	ADP
cana-786	47	4	our	our	PRON
cana-786	47	5	goal	goal	NOUN
cana-786	47	6	of	of	ADP
cana-786	47	7	achievement	achievement	NOUN
cana-786	47	8	,	,	PUNCT
cana-786	47	9	we	we	PRON
cana-786	47	10	’ve	’ve	AUX
cana-786	47	11	made	make	VERB
cana-786	47	12	several	several	ADJ
cana-786	47	13	changes	change	NOUN
cana-786	47	14	in	in	ADP
cana-786	47	15	the	the	DET
cana-786	47	16	architecture	architecture	NOUN
cana-786	47	17	,	,	PUNCT
cana-786	47	18	including	include	VERB
cana-786	47	19	the	the	DET
cana-786	47	20	inference	inference	NOUN
cana-786	47	21	setup	setup	NOUN
cana-786	47	22	and	and	CCONJ
cana-786	47	23	training	training	NOUN
cana-786	47	24	[	[	X
cana-786	47	25	6	6	NUM
cana-786	47	26	]	]	PUNCT
cana-786	47	27	process	process	NOUN
cana-786	47	28	.	.	PUNCT
cana-786	48	1	communications	communication	NOUN
cana-786	48	2	on	on	ADP
cana-786	48	3	applied	apply	VERB
cana-786	48	4	nonlinear	nonlinear	ADJ
cana-786	48	5	analysis	analysis	NOUN
cana-786	48	6	issn	issn	NOUN
cana-786	48	7	:	:	PUNCT
cana-786	48	8	1074	1074	NUM
cana-786	48	9	-	-	PUNCT
cana-786	48	10	133x	133x	NUM
cana-786	48	11	vol	vol	NOUN
cana-786	48	12	31	31	NUM
cana-786	48	13	no	no	NOUN
cana-786	48	14	.	.	PUNCT
cana-786	49	1	3s	3s	NUM
cana-786	49	2	(	(	PUNCT
cana-786	49	3	2024	2024	NUM
cana-786	49	4	)	)	PUNCT
cana-786	49	5	358	358	NUM
cana-786	49	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	49	7	pre	pre	NOUN
cana-786	49	8	-	-	NOUN
cana-786	49	9	normalization	normalization	NOUN
cana-786	49	10	:	:	PUNCT
cana-786	49	11	as	as	SCONJ
cana-786	49	12	we	we	PRON
cana-786	49	13	’ve	’ve	AUX
cana-786	49	14	seen	see	VERB
cana-786	49	15	in	in	ADP
cana-786	49	16	the	the	DET
cana-786	49	17	gpt	gpt	NOUN
cana-786	49	18	architecture	architecture	NOUN
cana-786	49	19	,	,	PUNCT
cana-786	49	20	to	to	PART
cana-786	49	21	improve	improve	VERB
cana-786	49	22	the	the	DET
cana-786	49	23	overall	overall	ADJ
cana-786	49	24	stability	stability	NOUN
cana-786	49	25	in	in	ADP
cana-786	49	26	the	the	DET
cana-786	49	27	training	training	NOUN
cana-786	49	28	and	and	CCONJ
cana-786	49	29	evaluation	evaluation	NOUN
cana-786	49	30	process	process	NOUN
cana-786	49	31	,	,	PUNCT
cana-786	49	32	we	we	PRON
cana-786	49	33	have	have	AUX
cana-786	49	34	adopted	adopt	VERB
cana-786	49	35	a	a	DET
cana-786	49	36	pre	pre	ADJ
cana-786	49	37	-	-	ADJ
cana-786	49	38	normalization	normalization	ADJ
cana-786	49	39	strategy	strategy	NOUN
cana-786	49	40	.	.	PUNCT
cana-786	50	1	this	this	PRON
cana-786	50	2	involves	involve	VERB
cana-786	50	3	applying	apply	VERB
cana-786	50	4	layer	layer	NOUN
cana-786	50	5	normalization	normalization	NOUN
cana-786	50	6	before	before	ADP
cana-786	50	7	each	each	DET
cana-786	50	8	sub	sub	NOUN
cana-786	50	9	-	-	NOUN
cana-786	50	10	block	block	ADJ
cana-786	50	11	(	(	PUNCT
cana-786	50	12	such	such	ADJ
cana-786	50	13	as	as	ADP
cana-786	50	14	self	self	NOUN
cana-786	50	15	-	-	PUNCT
cana-786	50	16	attention	attention	NOUN
cana-786	50	17	and	and	CCONJ
cana-786	50	18	feed	feed	NOUN
cana-786	50	19	-	-	PUNCT
cana-786	50	20	forward	forward	NOUN
cana-786	50	21	layers	layer	NOUN
cana-786	50	22	)	)	PUNCT
cana-786	50	23	within	within	ADP
cana-786	50	24	the	the	DET
cana-786	50	25	transformer	transformer	NOUN
cana-786	50	26	layers	layer	NOUN
cana-786	50	27	,	,	PUNCT
cana-786	50	28	which	which	PRON
cana-786	50	29	has	have	AUX
cana-786	50	30	been	be	AUX
cana-786	50	31	shown	show	VERB
cana-786	50	32	to	to	PART
cana-786	50	33	stabilize	stabilize	VERB
cana-786	50	34	the	the	DET
cana-786	50	35	gradients	gradient	NOUN
cana-786	50	36	and	and	CCONJ
cana-786	50	37	lead	lead	VERB
cana-786	50	38	to	to	ADP
cana-786	50	39	more	more	ADV
cana-786	50	40	robust	robust	ADJ
cana-786	50	41	training	training	NOUN
cana-786	50	42	dynamics	dynamic	NOUN
cana-786	50	43	.	.	PUNCT
cana-786	51	1	multi	multi	ADJ
cana-786	51	2	-	-	ADJ
cana-786	51	3	head	head	ADJ
cana-786	51	4	self	self	NOUN
cana-786	51	5	-	-	PUNCT
cana-786	51	6	attention	attention	NOUN
cana-786	51	7	:	:	PUNCT
cana-786	51	8	central	central	ADJ
cana-786	51	9	to	to	ADP
cana-786	51	10	our	our	PRON
cana-786	51	11	architecture	architecture	NOUN
cana-786	51	12	is	be	AUX
cana-786	51	13	the	the	DET
cana-786	51	14	multi	multi	ADJ
cana-786	51	15	-	-	ADJ
cana-786	51	16	head	head	ADJ
cana-786	51	17	self	self	NOUN
cana-786	51	18	-	-	PUNCT
cana-786	51	19	attention	attention	NOUN
cana-786	51	20	mechanism	mechanism	NOUN
cana-786	51	21	,	,	PUNCT
cana-786	51	22	which	which	PRON
cana-786	51	23	allows	allow	VERB
cana-786	51	24	the	the	DET
cana-786	51	25	model	model	NOUN
cana-786	51	26	to	to	PART
cana-786	51	27	process	process	VERB
cana-786	51	28	an	an	DET
cana-786	51	29	input	input	NOUN
cana-786	51	30	sequence	sequence	NOUN
cana-786	51	31	in	in	ADP
cana-786	51	32	a	a	DET
cana-786	51	33	way	way	NOUN
cana-786	51	34	that	that	PRON
cana-786	51	35	takes	take	VERB
cana-786	51	36	into	into	ADP
cana-786	51	37	account	account	NOUN
cana-786	51	38	the	the	DET
cana-786	51	39	different	different	ADJ
cana-786	51	40	types	type	NOUN
cana-786	51	41	of	of	ADP
cana-786	51	42	relationships	relationship	NOUN
cana-786	51	43	between	between	ADP
cana-786	51	44	words	word	NOUN
cana-786	51	45	.	.	PUNCT
cana-786	52	1	with	with	ADP
cana-786	52	2	multiple	multiple	ADJ
cana-786	52	3	sets	set	NOUN
cana-786	52	4	of	of	ADP
cana-786	52	5	attention	attention	NOUN
cana-786	52	6	weights	weight	NOUN
cana-786	52	7	,	,	PUNCT
cana-786	52	8	or	or	CCONJ
cana-786	52	9	"	"	PUNCT
cana-786	52	10	heads	head	NOUN
cana-786	52	11	,	,	PUNCT
cana-786	52	12	"	"	PUNCT
cana-786	52	13	the	the	DET
cana-786	52	14	model	model	NOUN
cana-786	52	15	can	can	AUX
cana-786	52	16	focus	focus	VERB
cana-786	52	17	on	on	ADP
cana-786	52	18	various	various	ADJ
cana-786	52	19	parts	part	NOUN
cana-786	52	20	of	of	ADP
cana-786	52	21	the	the	DET
cana-786	52	22	sequence	sequence	NOUN
cana-786	52	23	,	,	PUNCT
cana-786	52	24	capturing	capture	VERB
cana-786	52	25	a	a	DET
cana-786	52	26	diverse	diverse	ADJ
cana-786	52	27	range	range	NOUN
cana-786	52	28	of	of	ADP
cana-786	52	29	contextual	contextual	ADJ
cana-786	52	30	information	information	NOUN
cana-786	52	31	.	.	PUNCT
cana-786	53	1	this	this	DET
cana-786	53	2	parallel	parallel	ADJ
cana-786	53	3	processing	processing	NOUN
cana-786	53	4	capability	capability	NOUN
cana-786	53	5	enables	enable	VERB
cana-786	53	6	the	the	DET
cana-786	53	7	model	model	NOUN
cana-786	53	8	to	to	PART
cana-786	53	9	generate	generate	VERB
cana-786	53	10	richer	rich	ADJ
cana-786	53	11	and	and	CCONJ
cana-786	53	12	more	more	ADV
cana-786	53	13	nuanced	nuanced	ADJ
cana-786	53	14	representations	representation	NOUN
cana-786	53	15	of	of	ADP
cana-786	53	16	the	the	DET
cana-786	53	17	input	input	NOUN
cana-786	53	18	data	datum	NOUN
cana-786	53	19	.	.	PUNCT
cana-786	54	1	swiglu	swiglu	NOUN
cana-786	54	2	activation	activation	NOUN
cana-786	54	3	blocks	block	NOUN
cana-786	54	4	:	:	PUNCT
cana-786	54	5	we	we	PRON
cana-786	54	6	have	have	AUX
cana-786	54	7	integrated	integrate	VERB
cana-786	54	8	the	the	DET
cana-786	54	9	swiglu	swiglu	NOUN
cana-786	54	10	activation	activation	NOUN
cana-786	54	11	function	function	NOUN
cana-786	54	12	within	within	ADP
cana-786	54	13	our	our	PRON
cana-786	54	14	transformer	transformer	NOUN
cana-786	54	15	blocks	block	NOUN
cana-786	54	16	.	.	PUNCT
cana-786	55	1	this	this	DET
cana-786	55	2	novel	novel	ADJ
cana-786	55	3	activation	activation	NOUN
cana-786	55	4	function	function	NOUN
cana-786	55	5	combines	combine	VERB
cana-786	55	6	the	the	DET
cana-786	55	7	gating	gate	VERB
cana-786	55	8	mechanism	mechanism	NOUN
cana-786	55	9	with	with	ADP
cana-786	55	10	a	a	DET
cana-786	55	11	linear	linear	ADJ
cana-786	55	12	unit	unit	NOUN
cana-786	55	13	,	,	PUNCT
cana-786	55	14	allowing	allow	VERB
cana-786	55	15	for	for	ADP
cana-786	55	16	a	a	DET
cana-786	55	17	more	more	ADV
cana-786	55	18	dynamic	dynamic	ADJ
cana-786	55	19	range	range	NOUN
cana-786	55	20	of	of	ADP
cana-786	55	21	activations	activation	NOUN
cana-786	55	22	and	and	CCONJ
cana-786	55	23	improved	improve	VERB
cana-786	55	24	modeling	modeling	NOUN
cana-786	55	25	of	of	ADP
cana-786	55	26	complex	complex	ADJ
cana-786	55	27	dependencies	dependency	NOUN
cana-786	55	28	.	.	PUNCT
cana-786	56	1	the	the	DET
cana-786	56	2	swiglu	swiglu	PROPN
cana-786	56	3	activation	activation	NOUN
cana-786	56	4	has	have	AUX
cana-786	56	5	demonstrated	demonstrate	VERB
cana-786	56	6	its	its	PRON
cana-786	56	7	ability	ability	NOUN
cana-786	56	8	to	to	PART
cana-786	56	9	enhance	enhance	VERB
cana-786	56	10	model	model	NOUN
cana-786	56	11	performance	performance	NOUN
cana-786	56	12	,	,	PUNCT
cana-786	56	13	especially	especially	ADV
cana-786	56	14	in	in	ADP
cana-786	56	15	tasks	task	NOUN
cana-786	56	16	requiring	require	VERB
cana-786	56	17	nuanced	nuanced	ADJ
cana-786	56	18	understanding	understanding	NOUN
cana-786	56	19	of	of	ADP
cana-786	56	20	language	language	NOUN
cana-786	56	21	.	.	PUNCT
cana-786	57	1	feed	feed	VERB
cana-786	57	2	forward	forward	ADV
cana-786	57	3	networks	network	NOUN
cana-786	57	4	:	:	PUNCT
cana-786	57	5	our	our	PRON
cana-786	57	6	architecture	architecture	NOUN
cana-786	57	7	employs	employ	VERB
cana-786	57	8	an	an	DET
cana-786	57	9	enhanced	enhanced	ADJ
cana-786	57	10	feed	feed	NOUN
cana-786	57	11	-	-	PUNCT
cana-786	57	12	forward	forward	NOUN
cana-786	57	13	network	network	NOUN
cana-786	57	14	design	design	NOUN
cana-786	57	15	with	with	ADP
cana-786	57	16	an	an	DET
cana-786	57	17	increased	increase	VERB
cana-786	57	18	number	number	NOUN
cana-786	57	19	of	of	ADP
cana-786	57	20	parameters	parameter	NOUN
cana-786	57	21	,	,	PUNCT
cana-786	57	22	allowing	allow	VERB
cana-786	57	23	for	for	ADP
cana-786	57	24	a	a	DET
cana-786	57	25	richer	rich	ADJ
cana-786	57	26	representation	representation	NOUN
cana-786	57	27	of	of	ADP
cana-786	57	28	the	the	DET
cana-786	57	29	data	datum	NOUN
cana-786	57	30	.	.	PUNCT
cana-786	58	1	this	this	DET
cana-786	58	2	design	design	NOUN
cana-786	58	3	choice	choice	NOUN
cana-786	58	4	is	be	AUX
cana-786	58	5	motivated	motivate	VERB
cana-786	58	6	by	by	ADP
cana-786	58	7	the	the	DET
cana-786	58	8	need	need	NOUN
cana-786	58	9	to	to	PART
cana-786	58	10	capture	capture	VERB
cana-786	58	11	a	a	DET
cana-786	58	12	wider	wide	ADJ
cana-786	58	13	array	array	NOUN
cana-786	58	14	of	of	ADP
cana-786	58	15	linguistic	linguistic	ADJ
cana-786	58	16	features	feature	NOUN
cana-786	58	17	and	and	CCONJ
cana-786	58	18	patterns	pattern	NOUN
cana-786	58	19	that	that	PRON
cana-786	58	20	are	be	AUX
cana-786	58	21	essential	essential	ADJ
cana-786	58	22	for	for	ADP
cana-786	58	23	high	high	ADJ
cana-786	58	24	-	-	PUNCT
cana-786	58	25	quality	quality	NOUN
cana-786	58	26	text	text	NOUN
cana-786	58	27	generation	generation	NOUN
cana-786	58	28	.	.	PUNCT
cana-786	59	1	flash	flash	VERB
cana-786	59	2	attention	attention	NOUN
cana-786	59	3	:	:	PUNCT
cana-786	59	4	to	to	PART
cana-786	59	5	address	address	VERB
cana-786	59	6	the	the	DET
cana-786	59	7	computational	computational	ADJ
cana-786	59	8	demands	demand	NOUN
cana-786	59	9	of	of	ADP
cana-786	59	10	processing	process	VERB
cana-786	59	11	long	long	ADJ
cana-786	59	12	sequences	sequence	NOUN
cana-786	59	13	,	,	PUNCT
cana-786	59	14	we	we	PRON
cana-786	59	15	have	have	AUX
cana-786	59	16	incorporated	incorporate	VERB
cana-786	59	17	the	the	DET
cana-786	59	18	flash	flash	NOUN
cana-786	59	19	attention	attention	NOUN
cana-786	59	20	mechanism	mechanism	NOUN
cana-786	59	21	.	.	PUNCT
cana-786	60	1	this	this	DET
cana-786	60	2	innovation	innovation	NOUN
cana-786	60	3	significantly	significantly	ADV
cana-786	60	4	reduces	reduce	VERB
cana-786	60	5	the	the	DET
cana-786	60	6	memory	memory	NOUN
cana-786	60	7	communications	communication	NOUN
cana-786	60	8	on	on	ADP
cana-786	60	9	applied	apply	VERB
cana-786	60	10	nonlinear	nonlinear	ADJ
cana-786	60	11	analysis	analysis	NOUN
cana-786	60	12	issn	issn	NOUN
cana-786	60	13	:	:	PUNCT
cana-786	60	14	1074	1074	NUM
cana-786	60	15	-	-	PUNCT
cana-786	60	16	133x	133x	NUM
cana-786	60	17	vol	vol	NOUN
cana-786	60	18	31	31	NUM
cana-786	60	19	no	no	NOUN
cana-786	60	20	.	.	PUNCT
cana-786	61	1	3s	3s	NUM
cana-786	61	2	(	(	PUNCT
cana-786	61	3	2024	2024	NUM
cana-786	61	4	)	)	PUNCT
cana-786	61	5	359	359	NUM
cana-786	61	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	61	7	footprint	footprint	NOUN
cana-786	61	8	and	and	CCONJ
cana-786	61	9	computational	computational	ADJ
cana-786	61	10	time	time	NOUN
cana-786	61	11	required	require	VERB
cana-786	61	12	for	for	ADP
cana-786	61	13	the	the	DET
cana-786	61	14	self	self	NOUN
cana-786	61	15	-	-	PUNCT
cana-786	61	16	attention	attention	NOUN
cana-786	61	17	operation	operation	NOUN
cana-786	61	18	,	,	PUNCT
cana-786	61	19	enabling	enable	VERB
cana-786	61	20	our	our	PRON
cana-786	61	21	model	model	NOUN
cana-786	61	22	to	to	PART
cana-786	61	23	handle	handle	VERB
cana-786	61	24	longer	long	ADJ
cana-786	61	25	contexts	context	NOUN
cana-786	61	26	with	with	ADP
cana-786	61	27	greater	great	ADJ
cana-786	61	28	efficiency	efficiency	NOUN
cana-786	61	29	.	.	PUNCT
cana-786	62	1	qlora	qlora	PROPN
cana-786	62	2	position	position	NOUN
cana-786	62	3	embedding	embed	VERB
cana-786	62	4	:	:	PUNCT
cana-786	62	5	in	in	ADP
cana-786	62	6	traditional	traditional	ADJ
cana-786	62	7	transformer	transformer	NOUN
cana-786	62	8	models	model	NOUN
cana-786	62	9	,	,	PUNCT
cana-786	62	10	positional	positional	ADJ
cana-786	62	11	embeddings	embedding	NOUN
cana-786	62	12	are	be	AUX
cana-786	62	13	used	use	VERB
cana-786	62	14	to	to	PART
cana-786	62	15	provide	provide	VERB
cana-786	62	16	the	the	DET
cana-786	62	17	model	model	NOUN
cana-786	62	18	with	with	ADP
cana-786	62	19	information	information	NOUN
cana-786	62	20	about	about	ADP
cana-786	62	21	the	the	DET
cana-786	62	22	order	order	NOUN
cana-786	62	23	of	of	ADP
cana-786	62	24	tokens	token	NOUN
cana-786	62	25	in	in	ADP
cana-786	62	26	a	a	DET
cana-786	62	27	sequence	sequence	NOUN
cana-786	62	28	.	.	PUNCT
cana-786	63	1	however	however	ADV
cana-786	63	2	,	,	PUNCT
cana-786	63	3	these	these	DET
cana-786	63	4	embeddings	embedding	NOUN
cana-786	63	5	can	can	AUX
cana-786	63	6	become	become	VERB
cana-786	63	7	a	a	DET
cana-786	63	8	bottleneck	bottleneck	NOUN
cana-786	63	9	when	when	SCONJ
cana-786	63	10	dealing	deal	VERB
cana-786	63	11	with	with	ADP
cana-786	63	12	very	very	ADV
cana-786	63	13	long	long	ADJ
cana-786	63	14	sequences	sequence	NOUN
cana-786	63	15	.	.	PUNCT
cana-786	64	1	to	to	PART
cana-786	64	2	overcome	overcome	VERB
cana-786	64	3	this	this	PRON
cana-786	64	4	,	,	PUNCT
cana-786	64	5	we	we	PRON
cana-786	64	6	have	have	AUX
cana-786	64	7	employed	employ	VERB
cana-786	64	8	qlora	qlora	ADJ
cana-786	64	9	positional	positional	ADJ
cana-786	64	10	embeddings	embedding	NOUN
cana-786	64	11	,	,	PUNCT
cana-786	64	12	which	which	PRON
cana-786	64	13	utilize	utilize	VERB
cana-786	64	14	a	a	DET
cana-786	64	15	quantized	quantize	VERB
cana-786	64	16	low	low	ADJ
cana-786	64	17	-	-	PUNCT
cana-786	64	18	rank	rank	NOUN
cana-786	64	19	adaptation	adaptation	NOUN
cana-786	64	20	approach	approach	NOUN
cana-786	64	21	.	.	PUNCT
cana-786	65	1	this	this	DET
cana-786	65	2	method	method	NOUN
cana-786	65	3	allows	allow	VERB
cana-786	65	4	for	for	ADP
cana-786	65	5	a	a	DET
cana-786	65	6	more	more	ADV
cana-786	65	7	compact	compact	ADJ
cana-786	65	8	and	and	CCONJ
cana-786	65	9	efficient	efficient	ADJ
cana-786	65	10	representation	representation	NOUN
cana-786	65	11	of	of	ADP
cana-786	65	12	positional	positional	ADJ
cana-786	65	13	information	information	NOUN
cana-786	65	14	,	,	PUNCT
cana-786	65	15	facilitating	facilitate	VERB
cana-786	65	16	the	the	DET
cana-786	65	17	processing	processing	NOUN
cana-786	65	18	of	of	ADP
cana-786	65	19	longer	long	ADJ
cana-786	65	20	texts	text	NOUN
cana-786	65	21	without	without	ADP
cana-786	65	22	a	a	DET
cana-786	65	23	substantial	substantial	ADJ
cana-786	65	24	increase	increase	NOUN
cana-786	65	25	in	in	ADP
cana-786	65	26	computational	computational	ADJ
cana-786	65	27	resources	resource	NOUN
cana-786	65	28	.	.	PUNCT
cana-786	66	1	paged	page	VERB
cana-786	66	2	-	-	PUNCT
cana-786	66	3	adamw	adamw	NOUN
cana-786	66	4	optimizer	optimizer	NOUN
cana-786	66	5	:	:	PUNCT
cana-786	66	6	the	the	DET
cana-786	66	7	paged	page	VERB
cana-786	66	8	-	-	PUNCT
cana-786	66	9	adamw	adamw	NOUN
cana-786	66	10	optimizer	optimizer	NOUN
cana-786	66	11	is	be	AUX
cana-786	66	12	an	an	DET
cana-786	66	13	adaptation	adaptation	NOUN
cana-786	66	14	of	of	ADP
cana-786	66	15	the	the	DET
cana-786	66	16	adamw	adamw	NOUN
cana-786	66	17	optimizer	optimizer	NOUN
cana-786	66	18	designed	design	VERB
cana-786	66	19	to	to	PART
cana-786	66	20	handle	handle	VERB
cana-786	66	21	the	the	DET
cana-786	66	22	training	training	NOUN
cana-786	66	23	of	of	ADP
cana-786	66	24	large	large	ADJ
cana-786	66	25	models	model	NOUN
cana-786	66	26	more	more	ADV
cana-786	66	27	efficiently	efficiently	ADV
cana-786	66	28	.	.	PUNCT
cana-786	67	1	it	it	PRON
cana-786	67	2	achieves	achieve	VERB
cana-786	67	3	this	this	PRON
cana-786	67	4	by	by	ADP
cana-786	67	5	utilizing	utilize	VERB
cana-786	67	6	a	a	DET
cana-786	67	7	paging	page	VERB
cana-786	67	8	mechanism	mechanism	NOUN
cana-786	67	9	that	that	PRON
cana-786	67	10	reduces	reduce	VERB
cana-786	67	11	the	the	DET
cana-786	67	12	memory	memory	NOUN
cana-786	67	13	footprint	footprint	NOUN
cana-786	67	14	during	during	ADP
cana-786	67	15	optimization	optimization	NOUN
cana-786	67	16	.	.	PUNCT
cana-786	68	1	this	this	PRON
cana-786	68	2	allows	allow	VERB
cana-786	68	3	for	for	ADP
cana-786	68	4	the	the	DET
cana-786	68	5	training	training	NOUN
cana-786	68	6	of	of	ADP
cana-786	68	7	models	model	NOUN
cana-786	68	8	that	that	PRON
cana-786	68	9	would	would	AUX
cana-786	68	10	otherwise	otherwise	ADV
cana-786	68	11	exceed	exceed	VERB
cana-786	68	12	the	the	DET
cana-786	68	13	memory	memory	NOUN
cana-786	68	14	constraints	constraint	NOUN
cana-786	68	15	of	of	ADP
cana-786	68	16	the	the	DET
cana-786	68	17	hardware	hardware	NOUN
cana-786	68	18	,	,	PUNCT
cana-786	68	19	particularly	particularly	ADV
cana-786	68	20	when	when	SCONJ
cana-786	68	21	using	use	VERB
cana-786	68	22	a	a	DET
cana-786	68	23	single	single	ADJ
cana-786	68	24	gpu	gpu	NOUN
cana-786	68	25	.	.	PUNCT
cana-786	69	1	the	the	DET
cana-786	69	2	paged	page	VERB
cana-786	69	3	-	-	PUNCT
cana-786	69	4	adamw	adamw	NOUN
cana-786	69	5	optimizer	optimizer	NOUN
cana-786	69	6	maintains	maintain	VERB
cana-786	69	7	the	the	DET
cana-786	69	8	benefits	benefit	NOUN
cana-786	69	9	of	of	ADP
cana-786	69	10	the	the	DET
cana-786	69	11	original	original	ADJ
cana-786	69	12	adamw	adamw	NOUN
cana-786	69	13	,	,	PUNCT
cana-786	69	14	such	such	ADJ
cana-786	69	15	as	as	ADP
cana-786	69	16	weight	weight	NOUN
cana-786	69	17	decay	decay	NOUN
cana-786	69	18	regularization	regularization	NOUN
cana-786	69	19	,	,	PUNCT
cana-786	69	20	while	while	SCONJ
cana-786	69	21	enabling	enable	VERB
cana-786	69	22	the	the	DET
cana-786	69	23	training	training	NOUN
cana-786	69	24	of	of	ADP
cana-786	69	25	significantly	significantly	ADV
cana-786	69	26	larger	large	ADJ
cana-786	69	27	models	model	NOUN
cana-786	69	28	.	.	PUNCT
cana-786	70	1	bpe	bpe	PROPN
cana-786	70	2	tokenizer	tokenizer	NOUN
cana-786	70	3	:	:	PUNCT
cana-786	70	4	byte	byte	NOUN
cana-786	70	5	pair	pair	NOUN
cana-786	70	6	encoding	encoding	NOUN
cana-786	70	7	(	(	PUNCT
cana-786	70	8	bpe	bpe	PROPN
cana-786	70	9	)	)	PUNCT
cana-786	70	10	is	be	AUX
cana-786	70	11	a	a	DET
cana-786	70	12	tokenization	tokenization	NOUN
cana-786	70	13	method	method	NOUN
cana-786	70	14	that	that	PRON
cana-786	70	15	has	have	AUX
cana-786	70	16	been	be	AUX
cana-786	70	17	widely	widely	ADV
cana-786	70	18	adopted	adopt	VERB
cana-786	70	19	in	in	ADP
cana-786	70	20	the	the	DET
cana-786	70	21	field	field	NOUN
cana-786	70	22	of	of	ADP
cana-786	70	23	nlp	nlp	NOUN
cana-786	70	24	,	,	PUNCT
cana-786	70	25	especially	especially	ADV
cana-786	70	26	in	in	ADP
cana-786	70	27	transformer	transformer	NOUN
cana-786	70	28	-	-	PUNCT
cana-786	70	29	based	base	VERB
cana-786	70	30	models	model	NOUN
cana-786	70	31	like	like	ADP
cana-786	70	32	gpt	gpt	NOUN
cana-786	70	33	.	.	PUNCT
cana-786	71	1	bpe	bpe	PROPN
cana-786	71	2	works	work	VERB
cana-786	71	3	by	by	ADP
cana-786	71	4	iteratively	iteratively	ADV
cana-786	71	5	merging	merge	VERB
cana-786	71	6	the	the	DET
cana-786	71	7	most	most	ADV
cana-786	71	8	frequent	frequent	ADJ
cana-786	71	9	pairs	pair	NOUN
cana-786	71	10	of	of	ADP
cana-786	71	11	characters	character	NOUN
cana-786	71	12	or	or	CCONJ
cana-786	71	13	bytes	byte	NOUN
cana-786	71	14	in	in	ADP
cana-786	71	15	a	a	DET
cana-786	71	16	corpus	corpus	NOUN
cana-786	71	17	to	to	PART
cana-786	71	18	form	form	VERB
cana-786	71	19	new	new	ADJ
cana-786	71	20	tokens	token	NOUN
cana-786	71	21	,	,	PUNCT
cana-786	71	22	until	until	SCONJ
cana-786	71	23	a	a	DET
cana-786	71	24	desired	desire	VERB
cana-786	71	25	vocabulary	vocabulary	ADJ
cana-786	71	26	size	size	NOUN
cana-786	71	27	is	be	AUX
cana-786	71	28	reached	reach	VERB
cana-786	71	29	.	.	PUNCT
cana-786	72	1	this	this	DET
cana-786	72	2	approach	approach	NOUN
cana-786	72	3	allows	allow	VERB
cana-786	72	4	for	for	ADP
cana-786	72	5	efficient	efficient	ADJ
cana-786	72	6	representation	representation	NOUN
cana-786	72	7	of	of	ADP
cana-786	72	8	common	common	ADJ
cana-786	72	9	subwords	subword	NOUN
cana-786	72	10	or	or	CCONJ
cana-786	72	11	sequences	sequence	NOUN
cana-786	72	12	of	of	ADP
cana-786	72	13	characters	character	NOUN
cana-786	72	14	,	,	PUNCT
cana-786	72	15	which	which	PRON
cana-786	72	16	helps	help	VERB
cana-786	72	17	in	in	ADP
cana-786	72	18	reducing	reduce	VERB
cana-786	72	19	the	the	DET
cana-786	72	20	model	model	NOUN
cana-786	72	21	's	's	PART
cana-786	72	22	vocabulary	vocabulary	ADJ
cana-786	72	23	size	size	NOUN
cana-786	72	24	without	without	ADP
cana-786	72	25	losing	lose	VERB
cana-786	72	26	the	the	DET
cana-786	72	27	ability	ability	NOUN
cana-786	72	28	to	to	PART
cana-786	72	29	represent	represent	VERB
cana-786	72	30	any	any	DET
cana-786	72	31	text	text	NOUN
cana-786	72	32	.	.	PUNCT
cana-786	73	1	bpe	bpe	PROPN
cana-786	73	2	tokenization	tokenization	NOUN
cana-786	73	3	is	be	AUX
cana-786	73	4	particularly	particularly	ADV
cana-786	73	5	effective	effective	ADJ
cana-786	73	6	for	for	ADP
cana-786	73	7	handling	handle	VERB
cana-786	73	8	rare	rare	ADJ
cana-786	73	9	words	word	NOUN
cana-786	73	10	and	and	CCONJ
cana-786	73	11	out	out	ADV
cana-786	73	12	-	-	PUNCT
cana-786	73	13	ofvocabulary	ofvocabulary	ADJ
cana-786	73	14	tokens	token	NOUN
cana-786	73	15	,	,	PUNCT
cana-786	73	16	as	as	SCONJ
cana-786	73	17	it	it	PRON
cana-786	73	18	can	can	AUX
cana-786	73	19	decompose	decompose	VERB
cana-786	73	20	them	they	PRON
cana-786	73	21	into	into	ADP
cana-786	73	22	known	know	VERB
cana-786	73	23	subword	subword	PROPN
cana-786	73	24	units	unit	NOUN
cana-786	73	25	.	.	PUNCT
cana-786	74	1	2.3	2.3	NUM
cana-786	74	2	training	training	NOUN
cana-786	74	3	in	in	ADP
cana-786	74	4	our	our	PRON
cana-786	74	5	pursuit	pursuit	NOUN
cana-786	74	6	of	of	ADP
cana-786	74	7	optimizing	optimize	VERB
cana-786	74	8	the	the	DET
cana-786	74	9	training	training	NOUN
cana-786	74	10	velocity	velocity	NOUN
cana-786	74	11	of	of	ADP
cana-786	74	12	our	our	PRON
cana-786	74	13	neural	neural	NOUN
cana-786	74	14	[	[	X
cana-786	74	15	4,13,20	4,13,20	NUM
cana-786	74	16	]	]	PUNCT
cana-786	74	17	network	network	NOUN
cana-786	74	18	models	model	NOUN
cana-786	74	19	,	,	PUNCT
cana-786	74	20	we	we	PRON
cana-786	74	21	have	have	AUX
cana-786	74	22	instituted	institute	VERB
cana-786	74	23	a	a	DET
cana-786	74	24	series	series	NOUN
cana-786	74	25	of	of	ADP
cana-786	74	26	methodical	methodical	ADJ
cana-786	74	27	enhancements	enhancement	NOUN
cana-786	74	28	.	.	PUNCT
cana-786	75	1	commencing	commence	VERB
cana-786	75	2	with	with	ADP
cana-786	75	3	the	the	DET
cana-786	75	4	architecture	architecture	NOUN
cana-786	75	5	,	,	PUNCT
cana-786	75	6	we	we	PRON
cana-786	75	7	have	have	AUX
cana-786	75	8	embraced	embrace	VERB
cana-786	75	9	a	a	DET
cana-786	75	10	refined	refined	ADJ
cana-786	75	11	variant	variant	NOUN
cana-786	75	12	of	of	ADP
cana-786	75	13	the	the	DET
cana-786	75	14	swiftedlm	swiftedlm	ADJ
cana-786	75	15	architecture	architecture	NOUN
cana-786	75	16	.	.	PUNCT
cana-786	76	1	this	this	DET
cana-786	76	2	architecture	architecture	NOUN
cana-786	76	3	is	be	AUX
cana-786	76	4	meticulously	meticulously	ADV
cana-786	76	5	engineered	engineer	VERB
cana-786	76	6	to	to	PART
cana-786	76	7	incorporate	incorporate	VERB
cana-786	76	8	an	an	DET
cana-786	76	9	efficacious	efficacious	ADJ
cana-786	76	10	rendition	rendition	NOUN
cana-786	76	11	of	of	ADP
cana-786	76	12	causal	causal	ADJ
cana-786	76	13	multi	multi	ADJ
cana-786	76	14	-	-	ADJ
cana-786	76	15	head	head	ADJ
cana-786	76	16	attention	attention	NOUN
cana-786	76	17	.	.	PUNCT
cana-786	77	1	the	the	DET
cana-786	77	2	objective	objective	NOUN
cana-786	77	3	is	be	AUX
cana-786	77	4	to	to	PART
cana-786	77	5	diminish	diminish	VERB
cana-786	77	6	memory	memory	NOUN
cana-786	77	7	consumption	consumption	NOUN
cana-786	77	8	and	and	CCONJ
cana-786	77	9	expedite	expedite	ADJ
cana-786	77	10	runtime	runtime	NOUN
cana-786	77	11	,	,	PUNCT
cana-786	77	12	a	a	DET
cana-786	77	13	feat	feat	NOUN
cana-786	77	14	accomplished	accomplish	VERB
cana-786	77	15	by	by	ADP
cana-786	77	16	eschewing	eschew	VERB
cana-786	77	17	the	the	DET
cana-786	77	18	retention	retention	NOUN
cana-786	77	19	of	of	ADP
cana-786	77	20	attention	attention	NOUN
cana-786	77	21	weights	weight	NOUN
cana-786	77	22	and	and	CCONJ
cana-786	77	23	the	the	DET
cana-786	77	24	computation	computation	NOUN
cana-786	77	25	of	of	ADP
cana-786	77	26	key	key	ADJ
cana-786	77	27	/	/	SYM
cana-786	77	28	query	query	NOUN
cana-786	77	29	scores	score	NOUN
cana-786	77	30	that	that	PRON
cana-786	77	31	are	be	AUX
cana-786	77	32	rendered	render	VERB
cana-786	77	33	superfluous	superfluous	ADJ
cana-786	77	34	by	by	ADP
cana-786	77	35	the	the	DET
cana-786	77	36	causal	causal	ADJ
cana-786	77	37	constraints	constraint	NOUN
cana-786	77	38	inherent	inherent	ADJ
cana-786	77	39	in	in	ADP
cana-786	77	40	language	language	NOUN
cana-786	77	41	modeling	modeling	NOUN
cana-786	77	42	[	[	X
cana-786	77	43	8,9,10	8,9,10	NUM
cana-786	77	44	]	]	PUNCT
cana-786	77	45	tasks	task	NOUN
cana-786	77	46	.	.	PUNCT
cana-786	78	1	communications	communication	NOUN
cana-786	78	2	on	on	ADP
cana-786	78	3	applied	apply	VERB
cana-786	78	4	nonlinear	nonlinear	ADJ
cana-786	78	5	analysis	analysis	NOUN
cana-786	78	6	issn	issn	NOUN
cana-786	78	7	:	:	PUNCT
cana-786	78	8	1074	1074	NUM
cana-786	78	9	-	-	PUNCT
cana-786	78	10	133x	133x	NUM
cana-786	78	11	vol	vol	NOUN
cana-786	78	12	31	31	NUM
cana-786	78	13	no	no	NOUN
cana-786	78	14	.	.	PUNCT
cana-786	79	1	3s	3s	NUM
cana-786	79	2	(	(	PUNCT
cana-786	79	3	2024	2024	NUM
cana-786	79	4	)	)	PUNCT
cana-786	79	5	360	360	NUM
cana-786	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	79	7	further	far	ADV
cana-786	79	8	augmenting	augment	VERB
cana-786	79	9	our	our	PRON
cana-786	79	10	training	training	NOUN
cana-786	79	11	efficiency	efficiency	NOUN
cana-786	79	12	is	be	AUX
cana-786	79	13	the	the	DET
cana-786	79	14	strategic	strategic	ADJ
cana-786	79	15	implementation	implementation	NOUN
cana-786	79	16	of	of	ADP
cana-786	79	17	a	a	DET
cana-786	79	18	cpu	cpu	NOUN
cana-786	79	19	paging	page	VERB
cana-786	79	20	mechanism	mechanism	NOUN
cana-786	79	21	.	.	PUNCT
cana-786	80	1	this	this	DET
cana-786	80	2	mechanism	mechanism	NOUN
cana-786	80	3	astutely	astutely	ADV
cana-786	80	4	exploits	exploit	VERB
cana-786	80	5	the	the	DET
cana-786	80	6	cpu	cpu	NOUN
cana-786	80	7	's	's	PART
cana-786	80	8	cache	cache	NOUN
cana-786	80	9	stratification	stratification	NOUN
cana-786	80	10	,	,	PUNCT
cana-786	80	11	specifically	specifically	ADV
cana-786	80	12	the	the	DET
cana-786	80	13	l1	l1	PROPN
cana-786	80	14	and	and	CCONJ
cana-786	80	15	l2	l2	NOUN
cana-786	80	16	caches	cache	NOUN
cana-786	80	17	,	,	PUNCT
cana-786	80	18	to	to	PART
cana-786	80	19	curtail	curtail	VERB
cana-786	80	20	the	the	DET
cana-786	80	21	frequency	frequency	NOUN
cana-786	80	22	of	of	ADP
cana-786	80	23	memory	memory	NOUN
cana-786	80	24	accesses	access	NOUN
cana-786	80	25	.	.	PUNCT
cana-786	81	1	such	such	DET
cana-786	81	2	an	an	DET
cana-786	81	3	approach	approach	NOUN
cana-786	81	4	is	be	AUX
cana-786	81	5	instrumental	instrumental	ADJ
cana-786	81	6	in	in	ADP
cana-786	81	7	accelerating	accelerate	VERB
cana-786	81	8	the	the	DET
cana-786	81	9	training	training	NOUN
cana-786	81	10	process	process	NOUN
cana-786	81	11	.	.	PUNCT
cana-786	82	1	complementing	complement	VERB
cana-786	82	2	this	this	PRON
cana-786	82	3	,	,	PUNCT
cana-786	82	4	we	we	PRON
cana-786	82	5	have	have	AUX
cana-786	82	6	integrated	integrate	VERB
cana-786	82	7	an	an	DET
cana-786	82	8	adapter	adapter	NOUN
cana-786	82	9	module	module	NOUN
cana-786	82	10	within	within	ADP
cana-786	82	11	our	our	PRON
cana-786	82	12	training	training	NOUN
cana-786	82	13	pipeline	pipeline	NOUN
cana-786	82	14	.	.	PUNCT
cana-786	83	1	the	the	DET
cana-786	83	2	adapter	adapter	NOUN
cana-786	83	3	module	module	NOUN
cana-786	83	4	is	be	AUX
cana-786	83	5	a	a	DET
cana-786	83	6	paradigm	paradigm	NOUN
cana-786	83	7	of	of	ADP
cana-786	83	8	efficiency	efficiency	NOUN
cana-786	83	9	,	,	PUNCT
cana-786	83	10	enabling	enable	VERB
cana-786	83	11	swift	swift	ADJ
cana-786	83	12	and	and	CCONJ
cana-786	83	13	effective	effective	ADJ
cana-786	83	14	training	training	NOUN
cana-786	83	15	and	and	CCONJ
cana-786	83	16	also	also	ADV
cana-786	83	17	fine	fine	ADV
cana-786	83	18	-	-	PUNCT
cana-786	83	19	tuning	tuning	NOUN
cana-786	83	20	of	of	ADP
cana-786	83	21	the	the	DET
cana-786	83	22	model	model	NOUN
cana-786	83	23	with	with	ADP
cana-786	83	24	a	a	DET
cana-786	83	25	minimal	minimal	ADJ
cana-786	83	26	introduction	introduction	NOUN
cana-786	83	27	of	of	ADP
cana-786	83	28	additional	additional	ADJ
cana-786	83	29	parameters	parameter	NOUN
cana-786	83	30	.	.	PUNCT
cana-786	84	1	a	a	DET
cana-786	84	2	pivotal	pivotal	ADJ
cana-786	84	3	innovation	innovation	NOUN
cana-786	84	4	in	in	ADP
cana-786	84	5	our	our	PRON
cana-786	84	6	training	training	NOUN
cana-786	84	7	methodology	methodology	NOUN
cana-786	84	8	is	be	AUX
cana-786	84	9	the	the	DET
cana-786	84	10	development	development	NOUN
cana-786	84	11	of	of	ADP
cana-786	84	12	a	a	DET
cana-786	84	13	4	4	NUM
cana-786	84	14	-	-	PUNCT
cana-786	84	15	bit	bit	NOUN
cana-786	84	16	model	model	NOUN
cana-786	84	17	paradigm	paradigm	NOUN
cana-786	84	18	.	.	PUNCT
cana-786	85	1	this	this	DET
cana-786	85	2	paradigm	paradigm	NOUN
cana-786	85	3	achieves	achieve	VERB
cana-786	85	4	a	a	DET
cana-786	85	5	remarkable	remarkable	ADJ
cana-786	85	6	60	60	NUM
cana-786	85	7	%	%	NOUN
cana-786	85	8	compression	compression	NOUN
cana-786	85	9	in	in	ADP
cana-786	85	10	the	the	DET
cana-786	85	11	model	model	NOUN
cana-786	85	12	's	's	PART
cana-786	85	13	size	size	NOUN
cana-786	85	14	compared	compare	VERB
cana-786	85	15	to	to	ADP
cana-786	85	16	other	other	ADJ
cana-786	85	17	models	model	NOUN
cana-786	85	18	.	.	PUNCT
cana-786	86	1	this	this	DET
cana-786	86	2	compression	compression	NOUN
cana-786	86	3	is	be	AUX
cana-786	86	4	realized	realize	VERB
cana-786	86	5	without	without	ADP
cana-786	86	6	sacrificing	sacrifice	VERB
cana-786	86	7	the	the	DET
cana-786	86	8	model	model	NOUN
cana-786	86	9	's	's	PART
cana-786	86	10	performance	performance	NOUN
cana-786	86	11	,	,	PUNCT
cana-786	86	12	thereby	thereby	ADV
cana-786	86	13	yielding	yield	VERB
cana-786	86	14	a	a	DET
cana-786	86	15	training	training	NOUN
cana-786	86	16	setup	setup	NOUN
cana-786	86	17	that	that	PRON
cana-786	86	18	is	be	AUX
cana-786	86	19	both	both	PRON
cana-786	86	20	resource	resource	NOUN
cana-786	86	21	-	-	PUNCT
cana-786	86	22	efficient	efficient	ADJ
cana-786	86	23	and	and	CCONJ
cana-786	86	24	potent	potent	ADJ
cana-786	86	25	.	.	PUNCT
cana-786	87	1	to	to	PART
cana-786	87	2	extract	extract	VERB
cana-786	87	3	the	the	DET
cana-786	87	4	maximal	maximal	ADJ
cana-786	87	5	benefit	benefit	NOUN
cana-786	87	6	from	from	ADP
cana-786	87	7	these	these	DET
cana-786	87	8	architectural	architectural	ADJ
cana-786	87	9	and	and	CCONJ
cana-786	87	10	procedural	procedural	ADJ
cana-786	87	11	optimizations	optimization	NOUN
cana-786	87	12	,	,	PUNCT
cana-786	87	13	we	we	PRON
cana-786	87	14	have	have	AUX
cana-786	87	15	also	also	ADV
cana-786	87	16	refined	refine	VERB
cana-786	87	17	our	our	PRON
cana-786	87	18	optimizer	optimizer	NOUN
cana-786	87	19	and	and	CCONJ
cana-786	87	20	tokenization	tokenization	NOUN
cana-786	87	21	strategies	strategy	NOUN
cana-786	87	22	.	.	PUNCT
cana-786	88	1	the	the	DET
cana-786	88	2	paged	page	VERB
cana-786	88	3	-	-	PUNCT
cana-786	88	4	adamw	adamw	NOUN
cana-786	88	5	optimizer	optimizer	NOUN
cana-786	88	6	,	,	PUNCT
cana-786	88	7	a	a	DET
cana-786	88	8	sophisticated	sophisticated	ADJ
cana-786	88	9	evolution	evolution	NOUN
cana-786	88	10	of	of	ADP
cana-786	88	11	the	the	DET
cana-786	88	12	adamw	adamw	NOUN
cana-786	88	13	optimizer	optimizer	NOUN
cana-786	88	14	,	,	PUNCT
cana-786	88	15	incorporates	incorporate	VERB
cana-786	88	16	a	a	DET
cana-786	88	17	paging	page	VERB
cana-786	88	18	algorithm	algorithm	NOUN
cana-786	88	19	to	to	PART
cana-786	88	20	adeptly	adeptly	ADV
cana-786	88	21	manage	manage	VERB
cana-786	88	22	the	the	DET
cana-786	88	23	training	training	NOUN
cana-786	88	24	of	of	ADP
cana-786	88	25	voluminous	voluminous	ADJ
cana-786	88	26	models	model	NOUN
cana-786	88	27	within	within	ADP
cana-786	88	28	the	the	DET
cana-786	88	29	confines	confine	NOUN
cana-786	88	30	of	of	ADP
cana-786	88	31	memory	memory	NOUN
cana-786	88	32	limitations	limitation	NOUN
cana-786	88	33	.	.	PUNCT
cana-786	89	1	this	this	DET
cana-786	89	2	optimizer	optimizer	NOUN
cana-786	89	3	preserves	preserve	VERB
cana-786	89	4	the	the	DET
cana-786	89	5	advantages	advantage	NOUN
cana-786	89	6	of	of	ADP
cana-786	89	7	weight	weight	NOUN
cana-786	89	8	decay	decay	NOUN
cana-786	89	9	regularization	regularization	NOUN
cana-786	89	10	while	while	SCONJ
cana-786	89	11	facilitating	facilitate	VERB
cana-786	89	12	the	the	DET
cana-786	89	13	training	training	NOUN
cana-786	89	14	of	of	ADP
cana-786	89	15	substantially	substantially	ADV
cana-786	89	16	larger	large	ADJ
cana-786	89	17	models	model	NOUN
cana-786	89	18	.	.	PUNCT
cana-786	90	1	in	in	ADP
cana-786	90	2	the	the	DET
cana-786	90	3	realm	realm	NOUN
cana-786	90	4	of	of	ADP
cana-786	90	5	tokenization	tokenization	NOUN
cana-786	90	6	,	,	PUNCT
cana-786	90	7	we	we	PRON
cana-786	90	8	employ	employ	VERB
cana-786	90	9	the	the	DET
cana-786	90	10	bpe	bpe	PROPN
cana-786	90	11	tokenizer	tokenizer	NOUN
cana-786	90	12	.	.	PUNCT
cana-786	91	1	this	this	DET
cana-786	91	2	tokenizer	tokenizer	NOUN
cana-786	91	3	is	be	AUX
cana-786	91	4	a	a	DET
cana-786	91	5	testament	testament	NOUN
cana-786	91	6	to	to	ADP
cana-786	91	7	efficiency	efficiency	NOUN
cana-786	91	8	,	,	PUNCT
cana-786	91	9	adeptly	adeptly	ADV
cana-786	91	10	managing	manage	VERB
cana-786	91	11	an	an	DET
cana-786	91	12	extensive	extensive	ADJ
cana-786	91	13	range	range	NOUN
cana-786	91	14	of	of	ADP
cana-786	91	15	text	text	NOUN
cana-786	91	16	inputs	input	NOUN
cana-786	91	17	.	.	PUNCT
cana-786	92	1	it	it	PRON
cana-786	92	2	operates	operate	VERB
cana-786	92	3	on	on	ADP
cana-786	92	4	the	the	DET
cana-786	92	5	principle	principle	NOUN
cana-786	92	6	of	of	ADP
cana-786	92	7	iteratively	iteratively	ADV
cana-786	92	8	amalgamating	amalgamate	VERB
cana-786	92	9	the	the	DET
cana-786	92	10	most	most	ADV
cana-786	92	11	frequently	frequently	ADV
cana-786	92	12	occurring	occur	VERB
cana-786	92	13	pairs	pair	NOUN
cana-786	92	14	of	of	ADP
cana-786	92	15	characters	character	NOUN
cana-786	92	16	or	or	CCONJ
cana-786	92	17	bytes	byte	NOUN
cana-786	92	18	within	within	ADP
cana-786	92	19	a	a	DET
cana-786	92	20	corpus	corpus	NOUN
cana-786	92	21	.	.	PUNCT
cana-786	93	1	this	this	DET
cana-786	93	2	tokenizer	tokenizer	NOUN
cana-786	93	3	excels	excel	VERB
cana-786	93	4	in	in	ADP
cana-786	93	5	its	its	PRON
cana-786	93	6	ability	ability	NOUN
cana-786	93	7	to	to	PART
cana-786	93	8	handle	handle	VERB
cana-786	93	9	rare	rare	ADJ
cana-786	93	10	words	word	NOUN
cana-786	93	11	and	and	CCONJ
cana-786	93	12	tokens	token	NOUN
cana-786	93	13	not	not	PART
cana-786	93	14	found	find	VERB
cana-786	93	15	within	within	ADP
cana-786	93	16	the	the	DET
cana-786	93	17	vocabulary	vocabulary	NOUN
cana-786	93	18	,	,	PUNCT
cana-786	93	19	as	as	SCONJ
cana-786	93	20	it	it	PRON
cana-786	93	21	can	can	AUX
cana-786	93	22	deconstruct	deconstruct	VERB
cana-786	93	23	them	they	PRON
cana-786	93	24	into	into	ADP
cana-786	93	25	recognizable	recognizable	ADJ
cana-786	93	26	subword	subword	PROPN
cana-786	93	27	units	unit	NOUN
cana-786	93	28	.	.	PUNCT
cana-786	94	1	collectively	collectively	ADV
cana-786	94	2	,	,	PUNCT
cana-786	94	3	these	these	DET
cana-786	94	4	enhancements	enhancement	NOUN
cana-786	94	5	coalesce	coalesce	VERB
cana-786	94	6	to	to	PART
cana-786	94	7	form	form	VERB
cana-786	94	8	an	an	DET
cana-786	94	9	architecture	architecture	NOUN
cana-786	94	10	and	and	CCONJ
cana-786	94	11	training	training	NOUN
cana-786	94	12	process	process	NOUN
cana-786	94	13	that	that	PRON
cana-786	94	14	not	not	PART
cana-786	94	15	only	only	ADV
cana-786	94	16	accelerates	accelerate	VERB
cana-786	94	17	the	the	DET
cana-786	94	18	training	training	NOUN
cana-786	94	19	of	of	ADP
cana-786	94	20	our	our	PRON
cana-786	94	21	models	model	NOUN
cana-786	94	22	but	but	CCONJ
cana-786	94	23	also	also	ADV
cana-786	94	24	amplifies	amplify	VERB
cana-786	94	25	their	their	PRON
cana-786	94	26	capacity	capacity	NOUN
cana-786	94	27	to	to	PART
cana-786	94	28	tackle	tackle	VERB
cana-786	94	29	intricate	intricate	ADJ
cana-786	94	30	tasks	task	NOUN
cana-786	94	31	with	with	ADP
cana-786	94	32	heightened	heighten	VERB
cana-786	94	33	accuracy	accuracy	NOUN
cana-786	94	34	and	and	CCONJ
cana-786	94	35	efficiency	efficiency	NOUN
cana-786	94	36	.	.	PUNCT
cana-786	95	1	3	3	X
cana-786	95	2	.	.	X
cana-786	95	3	result	result	NOUN
cana-786	95	4	&	&	CCONJ
cana-786	95	5	analysis	analysis	NOUN
cana-786	95	6	in	in	ADP
cana-786	95	7	our	our	PRON
cana-786	95	8	comparative	comparative	ADJ
cana-786	95	9	analysis	analysis	NOUN
cana-786	95	10	,	,	PUNCT
cana-786	95	11	swiftedlm	swiftedlm	PROPN
cana-786	95	12	is	be	AUX
cana-786	95	13	juxtaposed	juxtapose	VERB
cana-786	95	14	with	with	ADP
cana-786	95	15	contemporary	contemporary	ADJ
cana-786	95	16	large	large	ADJ
cana-786	95	17	language	language	NOUN
cana-786	95	18	models	model	NOUN
cana-786	95	19	across	across	ADP
cana-786	95	20	a	a	DET
cana-786	95	21	gamut	gamut	NOUN
cana-786	95	22	of	of	ADP
cana-786	95	23	benchmarks	benchmark	NOUN
cana-786	95	24	that	that	PRON
cana-786	95	25	assess	assess	VERB
cana-786	95	26	common	common	ADJ
cana-786	95	27	sense	sense	NOUN
cana-786	95	28	reasoning	reasoning	NOUN
cana-786	95	29	,	,	PUNCT
cana-786	95	30	linguistic	linguistic	ADJ
cana-786	95	31	context	context	NOUN
cana-786	95	32	comprehension	comprehension	NOUN
cana-786	95	33	,	,	PUNCT
cana-786	95	34	and	and	CCONJ
cana-786	95	35	question	question	VERB
cana-786	95	36	answering	answer	VERB
cana-786	95	37	capabilities	capability	NOUN
cana-786	95	38	.	.	PUNCT
cana-786	96	1	these	these	DET
cana-786	96	2	benchmarks	benchmark	NOUN
cana-786	96	3	include	include	VERB
cana-786	96	4	hellaswag	hellaswag	NOUN
cana-786	96	5	,	,	PUNCT
cana-786	96	6	lambada	lambada	PROPN
cana-786	96	7	,	,	PUNCT
cana-786	96	8	webquestions	webquestion	NOUN
cana-786	96	9	,	,	PUNCT
cana-786	96	10	winogrande	winogrande	NOUN
cana-786	96	11	,	,	PUNCT
cana-786	96	12	mmlu	mmlu	NOUN
cana-786	96	13	,	,	PUNCT
cana-786	96	14	and	and	CCONJ
cana-786	96	15	humaneval	humaneval	NOUN
cana-786	96	16	,	,	PUNCT
cana-786	96	17	each	each	PRON
cana-786	96	18	presenting	present	VERB
cana-786	96	19	distinct	distinct	ADJ
cana-786	96	20	challenges	challenge	NOUN
cana-786	96	21	that	that	PRON
cana-786	96	22	test	test	VERB
cana-786	96	23	the	the	DET
cana-786	96	24	model	model	NOUN
cana-786	96	25	's	's	PART
cana-786	96	26	proficiency	proficiency	NOUN
cana-786	96	27	in	in	ADP
cana-786	96	28	understanding	understanding	NOUN
cana-786	96	29	and	and	CCONJ
cana-786	96	30	generating	generate	VERB
cana-786	96	31	human	human	ADJ
cana-786	96	32	-	-	PUNCT
cana-786	96	33	like	like	ADJ
cana-786	96	34	language	language	NOUN
cana-786	96	35	.	.	PUNCT
cana-786	97	1	communications	communication	NOUN
cana-786	97	2	on	on	ADP
cana-786	97	3	applied	apply	VERB
cana-786	97	4	nonlinear	nonlinear	ADJ
cana-786	97	5	analysis	analysis	NOUN
cana-786	97	6	issn	issn	NOUN
cana-786	97	7	:	:	PUNCT
cana-786	97	8	1074	1074	NUM
cana-786	97	9	-	-	PUNCT
cana-786	97	10	133x	133x	NUM
cana-786	97	11	vol	vol	NOUN
cana-786	97	12	31	31	NUM
cana-786	97	13	no	no	NOUN
cana-786	97	14	.	.	PUNCT
cana-786	98	1	3s	3s	NUM
cana-786	98	2	(	(	PUNCT
cana-786	98	3	2024	2024	NUM
cana-786	98	4	)	)	PUNCT
cana-786	98	5	361	361	NUM
cana-786	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	98	7	model	model	NOUN
cana-786	98	8	parameters	parameter	NOUN
cana-786	98	9	hellaswag	hellaswag	PROPN
cana-786	98	10	lambada	lambada	PROPN
cana-786	98	11	webquestions	webquestion	NOUN
cana-786	98	12	winogrande	winogrande	VERB
cana-786	98	13	mmlu	mmlu	ADJ
cana-786	98	14	humaneval	humaneval	PROPN
cana-786	98	15	gpt-4	gpt-4	NUM
cana-786	98	16	100	100	NUM
cana-786	98	17	t	t	NOUN
cana-786	98	18	89.5	89.5	NUM
cana-786	98	19	94.8	94.8	NUM
cana-786	98	20	92.3	92.3	NUM
cana-786	98	21	98.9	98.9	NUM
cana-786	98	22	78.2	78.2	NUM
cana-786	98	23	67.0	67.0	NUM
cana-786	98	24	gpt-3.5	gpt-3.5	NOUN
cana-786	98	25	175b	175b	NOUN
cana-786	98	26	87.2	87.2	NUM
cana-786	98	27	93.1	93.1	NUM
cana-786	98	28	87.8	87.8	NUM
cana-786	98	29	97.7	97.7	NUM
cana-786	98	30	76.1	76.1	NUM
cana-786	98	31	48.1	48.1	NUM
cana-786	98	32	palm-2	palm-2	NOUN
cana-786	98	33	-	-	PUNCT
cana-786	98	34	l	l	NOUN
cana-786	98	35	540b	540b	NUM
cana-786	98	36	90.1	90.1	NUM
cana-786	98	37	95.3	95.3	NUM
cana-786	98	38	90.2	90.2	NUM
cana-786	98	39	96.0	96.0	NUM
cana-786	98	40	80.3	80.3	NUM
cana-786	98	41	claude-2	claude-2	NUM
cana-786	98	42	100b	100b	NUM
cana-786	98	43	88.3	88.3	NUM
cana-786	98	44	94.5	94.5	NUM
cana-786	98	45	88.9	88.9	NUM
cana-786	98	46	98.8	98.8	NUM
cana-786	98	47	77.8	77.8	NUM
cana-786	98	48	lamda-2	lamda-2	PROPN
cana-786	98	49	137b	137b	PROPN
cana-786	98	50	89.9	89.9	NUM
cana-786	98	51	95.2	95.2	NUM
cana-786	98	52	89.8	89.8	NUM
cana-786	98	53	99.0	99.0	NUM
cana-786	98	54	79.1	79.1	NUM
cana-786	98	55	falcon-180b	falcon-180b	PROPN
cana-786	98	56	180b	180b	PROPN
cana-786	98	57	89.3	89.3	NUM
cana-786	98	58	94.9	94.9	NUM
cana-786	98	59	89.1	89.1	NUM
cana-786	98	60	98.8	98.8	NUM
cana-786	98	61	77.6	77.6	NUM
cana-786	98	62	29.9	29.9	NUM
cana-786	98	63	llama-2	llama-2	NUM
cana-786	98	64	70b	70b	NOUN
cana-786	98	65	88.1	88.1	NUM
cana-786	98	66	94.3	94.3	NUM
cana-786	98	67	88.7	88.7	NUM
cana-786	98	68	98.7	98.7	NUM
cana-786	98	69	77.1	77.1	NUM
cana-786	98	70	falcon-30b	falcon-30b	PROPN
cana-786	98	71	30b	30b	NOUN
cana-786	98	72	87.3	87.3	NUM
cana-786	98	73	93.2	93.2	NUM
cana-786	98	74	87.8	87.8	NUM
cana-786	98	75	98.5	98.5	NUM
cana-786	98	76	76.2	76.2	NUM
cana-786	98	77	mistral	mistral	ADJ
cana-786	98	78	7b	7b	PROPN
cana-786	98	79	86.8	86.8	NUM
cana-786	98	80	93.0	93.0	NUM
cana-786	98	81	87.3	87.3	NUM
cana-786	98	82	98.4	98.4	NUM
cana-786	98	83	75.9	75.9	NUM
cana-786	98	84	swiftedlm	swiftedlm	ADJ
cana-786	98	85	1k	1k	NUM
cana-786	98	86	89.8	89.8	NUM
cana-786	98	87	90.6	90.6	NUM
cana-786	98	88	92.6	92.6	NUM
cana-786	98	89	95.5	95.5	NUM
cana-786	98	90	79.8	79.8	NUM
cana-786	98	91	57.8	57.8	NUM
cana-786	98	92	3.1	3.1	NUM
cana-786	98	93	hellaswag	hellaswag	NOUN
cana-786	98	94	in	in	ADP
cana-786	98	95	the	the	DET
cana-786	98	96	hellaswag	hellaswag	NOUN
cana-786	98	97	benchmark	benchmark	NOUN
cana-786	98	98	,	,	PUNCT
cana-786	98	99	swiftedlm	swiftedlm	PROPN
cana-786	98	100	’s	’s	PART
cana-786	98	101	performance	performance	NOUN
cana-786	98	102	is	be	AUX
cana-786	98	103	not	not	PART
cana-786	98	104	merely	merely	ADV
cana-786	98	105	a	a	DET
cana-786	98	106	numerical	numerical	ADJ
cana-786	98	107	triumph	triumph	NOUN
cana-786	98	108	but	but	CCONJ
cana-786	98	109	a	a	DET
cana-786	98	110	testament	testament	NOUN
cana-786	98	111	to	to	ADP
cana-786	98	112	its	its	PRON
cana-786	98	113	sophisticated	sophisticated	ADJ
cana-786	98	114	understanding	understanding	NOUN
cana-786	98	115	of	of	ADP
cana-786	98	116	common	common	ADJ
cana-786	98	117	sense	sense	NOUN
cana-786	98	118	reasoning	reasoning	NOUN
cana-786	98	119	.	.	PUNCT
cana-786	99	1	the	the	DET
cana-786	99	2	score	score	NOUN
cana-786	99	3	of	of	ADP
cana-786	99	4	89.5	89.5	NUM
cana-786	99	5	is	be	AUX
cana-786	99	6	emblematic	emblematic	ADJ
cana-786	99	7	of	of	ADP
cana-786	99	8	the	the	DET
cana-786	99	9	model	model	NOUN
cana-786	99	10	’s	’s	PART
cana-786	99	11	ability	ability	NOUN
cana-786	99	12	to	to	PART
cana-786	99	13	navigate	navigate	VERB
cana-786	99	14	complex	complex	ADJ
cana-786	99	15	narrative	narrative	NOUN
cana-786	99	16	scenarios	scenario	NOUN
cana-786	99	17	and	and	CCONJ
cana-786	99	18	predict	predict	VERB
cana-786	99	19	logical	logical	ADJ
cana-786	99	20	continuations	continuation	NOUN
cana-786	99	21	that	that	PRON
cana-786	99	22	align	align	VERB
cana-786	99	23	with	with	ADP
cana-786	99	24	human	human	ADJ
cana-786	99	25	intuition	intuition	NOUN
cana-786	99	26	.	.	PUNCT
cana-786	100	1	hellaswag	hellaswag	NOUN
cana-786	100	2	is	be	AUX
cana-786	100	3	a	a	DET
cana-786	100	4	benchmark	benchmark	NOUN
cana-786	100	5	that	that	PRON
cana-786	100	6	presents	present	VERB
cana-786	100	7	models	model	NOUN
cana-786	100	8	with	with	ADP
cana-786	100	9	incomplete	incomplete	ADJ
cana-786	100	10	scenarios	scenario	NOUN
cana-786	100	11	,	,	PUNCT
cana-786	100	12	requiring	require	VERB
cana-786	100	13	them	they	PRON
cana-786	100	14	to	to	PART
cana-786	100	15	choose	choose	VERB
cana-786	100	16	the	the	DET
cana-786	100	17	most	most	ADV
cana-786	100	18	plausible	plausible	ADJ
cana-786	100	19	continuation	continuation	NOUN
cana-786	100	20	from	from	ADP
cana-786	100	21	a	a	DET
cana-786	100	22	set	set	NOUN
cana-786	100	23	of	of	ADP
cana-786	100	24	options	option	NOUN
cana-786	100	25	.	.	PUNCT
cana-786	101	1	it	it	PRON
cana-786	101	2	is	be	AUX
cana-786	101	3	designed	design	VERB
cana-786	101	4	to	to	PART
cana-786	101	5	test	test	VERB
cana-786	101	6	a	a	DET
cana-786	101	7	model	model	NOUN
cana-786	101	8	’s	’s	PART
cana-786	101	9	grasp	grasp	NOUN
cana-786	101	10	of	of	ADP
cana-786	101	11	situational	situational	ADJ
cana-786	101	12	context	context	NOUN
cana-786	101	13	,	,	PUNCT
cana-786	101	14	causal	causal	ADJ
cana-786	101	15	relationships	relationship	NOUN
cana-786	101	16	,	,	PUNCT
cana-786	101	17	and	and	CCONJ
cana-786	101	18	the	the	DET
cana-786	101	19	subtleties	subtlety	NOUN
cana-786	101	20	of	of	ADP
cana-786	101	21	everyday	everyday	ADJ
cana-786	101	22	events	event	NOUN
cana-786	101	23	.	.	PUNCT
cana-786	102	1	success	success	NOUN
cana-786	102	2	in	in	ADP
cana-786	102	3	this	this	DET
cana-786	102	4	benchmark	benchmark	NOUN
cana-786	102	5	hinges	hinge	NOUN
cana-786	102	6	on	on	ADP
cana-786	102	7	the	the	DET
cana-786	102	8	model	model	NOUN
cana-786	102	9	’s	’s	PART
cana-786	102	10	capacity	capacity	NOUN
cana-786	102	11	to	to	PART
cana-786	102	12	synthesize	synthesize	VERB
cana-786	102	13	information	information	NOUN
cana-786	102	14	from	from	ADP
cana-786	102	15	various	various	ADJ
cana-786	102	16	narrative	narrative	NOUN
cana-786	102	17	threads	thread	NOUN
cana-786	102	18	and	and	CCONJ
cana-786	102	19	to	to	PART
cana-786	102	20	apply	apply	VERB
cana-786	102	21	common	common	ADJ
cana-786	102	22	sense	sense	NOUN
cana-786	102	23	knowledge	knowledge	NOUN
cana-786	102	24	that	that	SCONJ
cana-786	102	25	humans	human	NOUN
cana-786	102	26	acquire	acquire	VERB
cana-786	102	27	through	through	ADP
cana-786	102	28	experience	experience	NOUN
cana-786	102	29	.	.	PUNCT
cana-786	103	1	swiftedlm	swiftedlm	PROPN
cana-786	103	2	’s	’s	PART
cana-786	103	3	high	high	ADJ
cana-786	103	4	score	score	NOUN
cana-786	103	5	in	in	ADP
cana-786	103	6	this	this	DET
cana-786	103	7	benchmark	benchmark	NOUN
cana-786	103	8	indicates	indicate	VERB
cana-786	103	9	that	that	SCONJ
cana-786	103	10	it	it	PRON
cana-786	103	11	can	can	AUX
cana-786	103	12	discern	discern	VERB
cana-786	103	13	the	the	DET
cana-786	103	14	nuances	nuance	NOUN
cana-786	103	15	of	of	ADP
cana-786	103	16	different	different	ADJ
cana-786	103	17	scenarios	scenario	NOUN
cana-786	103	18	and	and	CCONJ
cana-786	103	19	generate	generate	VERB
cana-786	103	20	conclusions	conclusion	NOUN
cana-786	103	21	that	that	PRON
cana-786	103	22	are	be	AUX
cana-786	103	23	coherent	coherent	ADJ
cana-786	103	24	and	and	CCONJ
cana-786	103	25	contextually	contextually	ADV
cana-786	103	26	appropriate	appropriate	ADJ
cana-786	103	27	.	.	PUNCT
cana-786	104	1	this	this	DET
cana-786	104	2	ability	ability	NOUN
cana-786	104	3	is	be	AUX
cana-786	104	4	crucial	crucial	ADJ
cana-786	104	5	for	for	ADP
cana-786	104	6	tasks	task	NOUN
cana-786	104	7	that	that	PRON
cana-786	104	8	involve	involve	VERB
cana-786	104	9	understanding	understand	VERB
cana-786	104	10	narratives	narrative	NOUN
cana-786	104	11	,	,	PUNCT
cana-786	104	12	making	make	VERB
cana-786	104	13	predictions	prediction	NOUN
cana-786	104	14	,	,	PUNCT
cana-786	104	15	and	and	CCONJ
cana-786	104	16	interacting	interact	VERB
cana-786	104	17	with	with	ADP
cana-786	104	18	users	user	NOUN
cana-786	104	19	in	in	ADP
cana-786	104	20	a	a	DET
cana-786	104	21	way	way	NOUN
cana-786	104	22	that	that	PRON
cana-786	104	23	feels	feel	VERB
cana-786	104	24	natural	natural	ADJ
cana-786	104	25	and	and	CCONJ
cana-786	104	26	intuitive	intuitive	ADJ
cana-786	104	27	.	.	PUNCT
cana-786	105	1	the	the	DET
cana-786	105	2	model	model	NOUN
cana-786	105	3	’s	’s	PART
cana-786	105	4	adeptness	adeptness	NOUN
cana-786	105	5	in	in	ADP
cana-786	105	6	hellaswag	hellaswag	NOUN
cana-786	105	7	suggests	suggest	VERB
cana-786	105	8	that	that	SCONJ
cana-786	105	9	it	it	PRON
cana-786	105	10	has	have	AUX
cana-786	105	11	internalized	internalize	VERB
cana-786	105	12	a	a	DET
cana-786	105	13	vast	vast	ADJ
cana-786	105	14	array	array	NOUN
cana-786	105	15	of	of	ADP
cana-786	105	16	situational	situational	ADJ
cana-786	105	17	data	datum	NOUN
cana-786	105	18	and	and	CCONJ
cana-786	105	19	common	common	ADJ
cana-786	105	20	sense	sense	NOUN
cana-786	105	21	facts	fact	NOUN
cana-786	105	22	during	during	ADP
cana-786	105	23	its	its	PRON
cana-786	105	24	pre	pre	ADJ
cana-786	105	25	-	-	ADJ
cana-786	105	26	training	training	ADJ
cana-786	105	27	phase	phase	NOUN
cana-786	105	28	.	.	PUNCT
cana-786	106	1	this	this	DET
cana-786	106	2	internal	internal	ADJ
cana-786	106	3	knowledge	knowledge	NOUN
cana-786	106	4	enables	enable	VERB
cana-786	106	5	swiftedlm	swiftedlm	ADJ
cana-786	106	6	to	to	PART
cana-786	106	7	perform	perform	VERB
cana-786	106	8	well	well	ADV
cana-786	106	9	in	in	ADP
cana-786	106	10	tasks	task	NOUN
cana-786	106	11	that	that	PRON
cana-786	106	12	require	require	VERB
cana-786	106	13	an	an	DET
cana-786	106	14	implicit	implicit	ADJ
cana-786	106	15	understanding	understanding	NOUN
cana-786	106	16	of	of	ADP
cana-786	106	17	the	the	DET
cana-786	106	18	world	world	NOUN
cana-786	106	19	,	,	PUNCT
cana-786	106	20	making	make	VERB
cana-786	106	21	it	it	PRON
cana-786	106	22	a	a	DET
cana-786	106	23	valuable	valuable	ADJ
cana-786	106	24	asset	asset	NOUN
cana-786	106	25	for	for	ADP
cana-786	106	26	applications	application	NOUN
cana-786	106	27	that	that	PRON
cana-786	106	28	demand	demand	VERB
cana-786	106	29	a	a	DET
cana-786	106	30	high	high	ADJ
cana-786	106	31	level	level	NOUN
cana-786	106	32	of	of	ADP
cana-786	106	33	language	language	NOUN
cana-786	106	34	comprehension	comprehension	NOUN
cana-786	106	35	and	and	CCONJ
cana-786	106	36	reasoning	reasoning	NOUN
cana-786	106	37	.	.	PUNCT
cana-786	107	1	in	in	ADP
cana-786	107	2	essence	essence	NOUN
cana-786	107	3	,	,	PUNCT
cana-786	107	4	swiftedlm	swiftedlm	PROPN
cana-786	107	5	’s	’s	PART
cana-786	107	6	score	score	NOUN
cana-786	107	7	of	of	ADP
cana-786	107	8	89.5	89.5	NUM
cana-786	107	9	in	in	ADP
cana-786	107	10	the	the	DET
cana-786	107	11	hellaswag	hellaswag	NOUN
cana-786	107	12	benchmark	benchmark	NOUN
cana-786	107	13	is	be	AUX
cana-786	107	14	a	a	DET
cana-786	107	15	clear	clear	ADJ
cana-786	107	16	indicator	indicator	NOUN
cana-786	107	17	of	of	ADP
cana-786	107	18	its	its	PRON
cana-786	107	19	advanced	advanced	ADJ
cana-786	107	20	language	language	NOUN
cana-786	107	21	processing	processing	NOUN
cana-786	107	22	capabilities	capability	NOUN
cana-786	107	23	,	,	PUNCT
cana-786	107	24	particularly	particularly	ADV
cana-786	107	25	in	in	ADP
cana-786	107	26	the	the	DET
cana-786	107	27	realm	realm	NOUN
cana-786	107	28	of	of	ADP
cana-786	107	29	common	common	ADJ
cana-786	107	30	sense	sense	NOUN
cana-786	107	31	reasoning	reasoning	NOUN
cana-786	107	32	—	—	PUNCT
cana-786	107	33	a	a	DET
cana-786	107	34	domain	domain	NOUN
cana-786	107	35	that	that	PRON
cana-786	107	36	has	have	AUX
cana-786	107	37	traditionally	traditionally	ADV
cana-786	107	38	been	be	AUX
cana-786	107	39	challenging	challenge	VERB
cana-786	107	40	for	for	ADP
cana-786	107	41	ai	ai	PROPN
cana-786	107	42	models	model	NOUN
cana-786	107	43	to	to	PART
cana-786	107	44	navigate	navigate	VERB
cana-786	107	45	.	.	PUNCT
cana-786	108	1	this	this	DET
cana-786	108	2	performance	performance	NOUN
cana-786	108	3	communications	communication	NOUN
cana-786	108	4	on	on	ADP
cana-786	108	5	applied	apply	VERB
cana-786	108	6	nonlinear	nonlinear	ADJ
cana-786	108	7	analysis	analysis	NOUN
cana-786	108	8	issn	issn	NOUN
cana-786	108	9	:	:	PUNCT
cana-786	108	10	1074	1074	NUM
cana-786	108	11	-	-	PUNCT
cana-786	108	12	133x	133x	NUM
cana-786	108	13	vol	vol	NOUN
cana-786	108	14	31	31	NUM
cana-786	108	15	no	no	NOUN
cana-786	108	16	.	.	PUNCT
cana-786	109	1	3s	3s	NUM
cana-786	109	2	(	(	PUNCT
cana-786	109	3	2024	2024	NUM
cana-786	109	4	)	)	PUNCT
cana-786	109	5	362	362	NUM
cana-786	109	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	109	7	underscores	underscore	VERB
cana-786	109	8	the	the	DET
cana-786	109	9	model	model	NOUN
cana-786	109	10	’s	’s	PART
cana-786	109	11	potential	potential	NOUN
cana-786	109	12	to	to	PART
cana-786	109	13	interact	interact	VERB
cana-786	109	14	with	with	ADP
cana-786	109	15	users	user	NOUN
cana-786	109	16	in	in	ADP
cana-786	109	17	a	a	DET
cana-786	109	18	manner	manner	NOUN
cana-786	109	19	that	that	PRON
cana-786	109	20	is	be	AUX
cana-786	109	21	both	both	PRON
cana-786	109	22	contextually	contextually	ADV
cana-786	109	23	informed	informed	ADJ
cana-786	109	24	and	and	CCONJ
cana-786	109	25	cognizant	cognizant	ADJ
cana-786	109	26	of	of	ADP
cana-786	109	27	the	the	DET
cana-786	109	28	complexities	complexity	NOUN
cana-786	109	29	inherent	inherent	ADJ
cana-786	109	30	in	in	ADP
cana-786	109	31	human	human	ADJ
cana-786	109	32	language	language	NOUN
cana-786	109	33	and	and	CCONJ
cana-786	109	34	thought	think	VERB
cana-786	109	35	.	.	PUNCT
cana-786	110	1	3.2	3.2	NUM
cana-786	110	2	lambada	lambada	VERB
cana-786	110	3	the	the	DET
cana-786	110	4	realm	realm	NOUN
cana-786	110	5	of	of	ADP
cana-786	110	6	text	text	NOUN
cana-786	110	7	completion	completion	NOUN
cana-786	110	8	and	and	CCONJ
cana-786	110	9	language	language	NOUN
cana-786	110	10	modelling	modelling	NOUN
cana-786	110	11	[	[	X
cana-786	110	12	21,22	21,22	NOUN
cana-786	110	13	]	]	X
cana-786	110	14	.	.	PUNCT
cana-786	111	1	achieving	achieve	VERB
cana-786	111	2	a	a	DET
cana-786	111	3	score	score	NOUN
cana-786	111	4	of	of	ADP
cana-786	111	5	90.6	90.6	NUM
cana-786	111	6	is	be	AUX
cana-786	111	7	not	not	PART
cana-786	111	8	merely	merely	ADV
cana-786	111	9	a	a	DET
cana-786	111	10	quantitative	quantitative	ADJ
cana-786	111	11	measure	measure	NOUN
cana-786	111	12	but	but	CCONJ
cana-786	111	13	a	a	DET
cana-786	111	14	qualitative	qualitative	ADJ
cana-786	111	15	affirmation	affirmation	NOUN
cana-786	111	16	of	of	ADP
cana-786	111	17	the	the	DET
cana-786	111	18	model	model	NOUN
cana-786	111	19	’s	’s	PART
cana-786	111	20	intricate	intricate	ADJ
cana-786	111	21	understanding	understanding	NOUN
cana-786	111	22	of	of	ADP
cana-786	111	23	language	language	NOUN
cana-786	111	24	structure	structure	NOUN
cana-786	111	25	and	and	CCONJ
cana-786	111	26	its	its	PRON
cana-786	111	27	predictive	predictive	ADJ
cana-786	111	28	capabilities	capability	NOUN
cana-786	111	29	.	.	PUNCT
cana-786	112	1	lambada	lambada	PROPN
cana-786	112	2	challenges	challenge	VERB
cana-786	112	3	models	model	NOUN
cana-786	112	4	to	to	PART
cana-786	112	5	predict	predict	VERB
cana-786	112	6	the	the	DET
cana-786	112	7	final	final	ADJ
cana-786	112	8	word	word	NOUN
cana-786	112	9	in	in	ADP
cana-786	112	10	a	a	DET
cana-786	112	11	passage	passage	NOUN
cana-786	112	12	,	,	PUNCT
cana-786	112	13	a	a	DET
cana-786	112	14	task	task	NOUN
cana-786	112	15	that	that	PRON
cana-786	112	16	requires	require	VERB
cana-786	112	17	a	a	DET
cana-786	112	18	deep	deep	ADJ
cana-786	112	19	comprehension	comprehension	NOUN
cana-786	112	20	of	of	ADP
cana-786	112	21	grammar	grammar	NOUN
cana-786	112	22	,	,	PUNCT
cana-786	112	23	syntax	syntax	NOUN
cana-786	112	24	,	,	PUNCT
cana-786	112	25	and	and	CCONJ
cana-786	112	26	semantics	semantic	NOUN
cana-786	112	27	.	.	PUNCT
cana-786	113	1	it	it	PRON
cana-786	113	2	demands	demand	VERB
cana-786	113	3	that	that	SCONJ
cana-786	113	4	the	the	DET
cana-786	113	5	model	model	NOUN
cana-786	113	6	not	not	PART
cana-786	113	7	only	only	ADV
cana-786	113	8	understands	understand	VERB
cana-786	113	9	the	the	DET
cana-786	113	10	immediate	immediate	ADJ
cana-786	113	11	context	context	NOUN
cana-786	113	12	but	but	CCONJ
cana-786	113	13	also	also	ADV
cana-786	113	14	the	the	DET
cana-786	113	15	broader	broad	ADJ
cana-786	113	16	narrative	narrative	ADJ
cana-786	113	17	arc	arc	NOUN
cana-786	113	18	of	of	ADP
cana-786	113	19	the	the	DET
cana-786	113	20	text	text	NOUN
cana-786	113	21	.	.	PUNCT
cana-786	114	1	the	the	DET
cana-786	114	2	benchmark	benchmark	NOUN
cana-786	114	3	is	be	AUX
cana-786	114	4	designed	design	VERB
cana-786	114	5	to	to	PART
cana-786	114	6	push	push	VERB
cana-786	114	7	the	the	DET
cana-786	114	8	boundaries	boundary	NOUN
cana-786	114	9	of	of	ADP
cana-786	114	10	what	what	DET
cana-786	114	11	language	language	NOUN
cana-786	114	12	models	model	NOUN
cana-786	114	13	can	can	AUX
cana-786	114	14	achieve	achieve	VERB
cana-786	114	15	,	,	PUNCT
cana-786	114	16	focusing	focus	VERB
cana-786	114	17	on	on	ADP
cana-786	114	18	passages	passage	NOUN
cana-786	114	19	where	where	SCONJ
cana-786	114	20	humans	human	NOUN
cana-786	114	21	,	,	PUNCT
cana-786	114	22	relying	rely	VERB
cana-786	114	23	on	on	ADP
cana-786	114	24	their	their	PRON
cana-786	114	25	implicit	implicit	ADJ
cana-786	114	26	knowledge	knowledge	NOUN
cana-786	114	27	of	of	ADP
cana-786	114	28	language	language	NOUN
cana-786	114	29	and	and	CCONJ
cana-786	114	30	the	the	DET
cana-786	114	31	world	world	NOUN
cana-786	114	32	,	,	PUNCT
cana-786	114	33	can	can	AUX
cana-786	114	34	easily	easily	ADV
cana-786	114	35	predict	predict	VERB
cana-786	114	36	the	the	DET
cana-786	114	37	missing	missing	ADJ
cana-786	114	38	word	word	NOUN
cana-786	114	39	.	.	PUNCT
cana-786	115	1	swiftedlm	swiftedlm	PROPN
cana-786	115	2	’s	’s	PART
cana-786	115	3	high	high	ADJ
cana-786	115	4	score	score	NOUN
cana-786	115	5	in	in	ADP
cana-786	115	6	this	this	DET
cana-786	115	7	benchmark	benchmark	NOUN
cana-786	115	8	suggests	suggest	VERB
cana-786	115	9	that	that	SCONJ
cana-786	115	10	it	it	PRON
cana-786	115	11	has	have	AUX
cana-786	115	12	effectively	effectively	ADV
cana-786	115	13	internalized	internalize	VERB
cana-786	115	14	a	a	DET
cana-786	115	15	vast	vast	ADJ
cana-786	115	16	corpus	corpus	NOUN
cana-786	115	17	of	of	ADP
cana-786	115	18	linguistic	linguistic	ADJ
cana-786	115	19	data	datum	NOUN
cana-786	115	20	during	during	ADP
cana-786	115	21	its	its	PRON
cana-786	115	22	pre	pre	ADJ
cana-786	115	23	-	-	ADJ
cana-786	115	24	training	training	ADJ
cana-786	115	25	phase	phase	NOUN
cana-786	115	26	[	[	X
cana-786	115	27	15,16,17	15,16,17	NUM
cana-786	115	28	]	]	X
cana-786	115	29	.	.	PUNCT
cana-786	116	1	this	this	DET
cana-786	116	2	internal	internal	ADJ
cana-786	116	3	knowledge	knowledge	NOUN
cana-786	116	4	base	base	NOUN
cana-786	116	5	allows	allow	VERB
cana-786	116	6	swiftedlm	swiftedlm	PROPN
cana-786	116	7	to	to	PART
cana-786	116	8	navigate	navigate	VERB
cana-786	116	9	through	through	ADP
cana-786	116	10	complex	complex	ADJ
cana-786	116	11	sentence	sentence	NOUN
cana-786	116	12	structures	structure	NOUN
cana-786	116	13	,	,	PUNCT
cana-786	116	14	understand	understand	VERB
cana-786	116	15	nuanced	nuanced	ADJ
cana-786	116	16	storytelling	storytelling	NOUN
cana-786	116	17	,	,	PUNCT
cana-786	116	18	and	and	CCONJ
cana-786	116	19	accurately	accurately	ADV
cana-786	116	20	predict	predict	VERB
cana-786	116	21	the	the	DET
cana-786	116	22	most	most	ADV
cana-786	116	23	probable	probable	ADJ
cana-786	116	24	word	word	NOUN
cana-786	116	25	to	to	PART
cana-786	116	26	complete	complete	VERB
cana-786	116	27	a	a	DET
cana-786	116	28	passage	passage	NOUN
cana-786	116	29	.	.	PUNCT
cana-786	117	1	moreover	moreover	ADV
cana-786	117	2	,	,	PUNCT
cana-786	117	3	the	the	DET
cana-786	117	4	model	model	NOUN
cana-786	117	5	’s	’s	PART
cana-786	117	6	performance	performance	NOUN
cana-786	117	7	on	on	ADP
cana-786	117	8	lambada	lambada	PROPN
cana-786	117	9	indicates	indicate	VERB
cana-786	117	10	its	its	PRON
cana-786	117	11	ability	ability	NOUN
cana-786	117	12	to	to	PART
cana-786	117	13	handle	handle	VERB
cana-786	117	14	ambiguity	ambiguity	NOUN
cana-786	117	15	in	in	ADP
cana-786	117	16	language	language	NOUN
cana-786	117	17	—	—	PUNCT
cana-786	117	18	a	a	DET
cana-786	117	19	common	common	ADJ
cana-786	117	20	occurrence	occurrence	NOUN
cana-786	117	21	in	in	ADP
cana-786	117	22	natural	natural	ADJ
cana-786	117	23	human	human	ADJ
cana-786	117	24	communication	communication	NOUN
cana-786	117	25	.	.	PUNCT
cana-786	118	1	swiftedlm	swiftedlm	PROPN
cana-786	118	2	can	can	AUX
cana-786	118	3	discern	discern	VERB
cana-786	118	4	multiple	multiple	ADJ
cana-786	118	5	potential	potential	ADJ
cana-786	118	6	meanings	meaning	NOUN
cana-786	118	7	and	and	CCONJ
cana-786	118	8	choose	choose	VERB
cana-786	118	9	the	the	DET
cana-786	118	10	continuation	continuation	NOUN
cana-786	118	11	that	that	PRON
cana-786	118	12	best	well	ADV
cana-786	118	13	fits	fit	VERB
cana-786	118	14	the	the	DET
cana-786	118	15	given	give	VERB
cana-786	118	16	context	context	NOUN
cana-786	118	17	.	.	PUNCT
cana-786	119	1	this	this	DET
cana-786	119	2	level	level	NOUN
cana-786	119	3	of	of	ADP
cana-786	119	4	linguistic	linguistic	ADJ
cana-786	119	5	acumen	acuman	NOUN
cana-786	119	6	is	be	AUX
cana-786	119	7	crucial	crucial	ADJ
cana-786	119	8	for	for	ADP
cana-786	119	9	applications	application	NOUN
cana-786	119	10	that	that	PRON
cana-786	119	11	require	require	VERB
cana-786	119	12	the	the	DET
cana-786	119	13	generation	generation	NOUN
cana-786	119	14	of	of	ADP
cana-786	119	15	coherent	coherent	ADJ
cana-786	119	16	and	and	CCONJ
cana-786	119	17	contextually	contextually	ADV
cana-786	119	18	appropriate	appropriate	ADJ
cana-786	119	19	text	text	NOUN
cana-786	119	20	,	,	PUNCT
cana-786	119	21	such	such	ADJ
cana-786	119	22	as	as	ADP
cana-786	119	23	dialogue	dialogue	NOUN
cana-786	119	24	systems	system	NOUN
cana-786	119	25	,	,	PUNCT
cana-786	119	26	creative	creative	ADJ
cana-786	119	27	writing	writing	NOUN
cana-786	119	28	assistants	assistant	NOUN
cana-786	119	29	,	,	PUNCT
cana-786	119	30	and	and	CCONJ
cana-786	119	31	advanced	advanced	ADJ
cana-786	119	32	content	content	NOUN
cana-786	119	33	generation	generation	NOUN
cana-786	119	34	tools	tool	NOUN
cana-786	119	35	.	.	PUNCT
cana-786	120	1	3.3	3.3	NUM
cana-786	120	2	webquestions	webquestion	NOUN
cana-786	120	3	the	the	DET
cana-786	120	4	webquestions	webquestion	NOUN
cana-786	120	5	benchmark	benchmark	NOUN
cana-786	120	6	is	be	AUX
cana-786	120	7	a	a	DET
cana-786	120	8	critical	critical	ADJ
cana-786	120	9	measure	measure	NOUN
cana-786	120	10	of	of	ADP
cana-786	120	11	swiftedlm	swiftedlm	PROPN
cana-786	120	12	’s	’s	PART
cana-786	120	13	capabilities	capability	NOUN
cana-786	120	14	in	in	ADP
cana-786	120	15	the	the	DET
cana-786	120	16	domain	domain	NOUN
cana-786	120	17	of	of	ADP
cana-786	120	18	closed	closed	ADJ
cana-786	120	19	-	-	PUNCT
cana-786	120	20	book	book	NOUN
cana-786	120	21	question	question	NOUN
cana-786	120	22	answering	answering	NOUN
cana-786	120	23	.	.	PUNCT
cana-786	121	1	achieving	achieve	VERB
cana-786	121	2	a	a	DET
cana-786	121	3	score	score	NOUN
cana-786	121	4	of	of	ADP
cana-786	121	5	92.6	92.6	NUM
cana-786	121	6	on	on	ADP
cana-786	121	7	this	this	DET
cana-786	121	8	benchmark	benchmark	NOUN
cana-786	121	9	is	be	AUX
cana-786	121	10	a	a	DET
cana-786	121	11	significant	significant	ADJ
cana-786	121	12	accomplishment	accomplishment	NOUN
cana-786	121	13	,	,	PUNCT
cana-786	121	14	highlighting	highlight	VERB
cana-786	121	15	the	the	DET
cana-786	121	16	model	model	NOUN
cana-786	121	17	’s	’s	PART
cana-786	121	18	exceptional	exceptional	ADJ
cana-786	121	19	ability	ability	NOUN
cana-786	121	20	to	to	PART
cana-786	121	21	retrieve	retrieve	VERB
cana-786	121	22	and	and	CCONJ
cana-786	121	23	synthesize	synthesize	VERB
cana-786	121	24	information	information	NOUN
cana-786	121	25	to	to	PART
cana-786	121	26	provide	provide	VERB
cana-786	121	27	accurate	accurate	ADJ
cana-786	121	28	answers	answer	NOUN
cana-786	121	29	to	to	ADP
cana-786	121	30	queries	query	NOUN
cana-786	121	31	.	.	PUNCT
cana-786	122	1	webquestions	webquestion	NOUN
cana-786	122	2	consists	consist	VERB
cana-786	122	3	of	of	ADP
cana-786	122	4	a	a	DET
cana-786	122	5	collection	collection	NOUN
cana-786	122	6	of	of	ADP
cana-786	122	7	real	real	ADJ
cana-786	122	8	-	-	PUNCT
cana-786	122	9	world	world	NOUN
cana-786	122	10	questions	question	NOUN
cana-786	122	11	that	that	PRON
cana-786	122	12	people	people	NOUN
cana-786	122	13	commonly	commonly	ADV
cana-786	122	14	ask	ask	VERB
cana-786	122	15	on	on	ADP
cana-786	122	16	the	the	DET
cana-786	122	17	web	web	NOUN
cana-786	122	18	.	.	PUNCT
cana-786	123	1	the	the	DET
cana-786	123	2	benchmark	benchmark	NOUN
cana-786	123	3	evaluates	evaluate	VERB
cana-786	123	4	a	a	DET
cana-786	123	5	model	model	NOUN
cana-786	123	6	’s	’s	PART
cana-786	123	7	capacity	capacity	NOUN
cana-786	123	8	to	to	PART
cana-786	123	9	understand	understand	VERB
cana-786	123	10	these	these	DET
cana-786	123	11	questions	question	NOUN
cana-786	123	12	and	and	CCONJ
cana-786	123	13	generate	generate	VERB
cana-786	123	14	correct	correct	ADJ
cana-786	123	15	answers	answer	NOUN
cana-786	123	16	using	use	VERB
cana-786	123	17	only	only	ADV
cana-786	123	18	its	its	PRON
cana-786	123	19	internal	internal	ADJ
cana-786	123	20	knowledge	knowledge	NOUN
cana-786	123	21	base	base	NOUN
cana-786	123	22	,	,	PUNCT
cana-786	123	23	without	without	ADP
cana-786	123	24	the	the	DET
cana-786	123	25	aid	aid	NOUN
cana-786	123	26	of	of	ADP
cana-786	123	27	external	external	ADJ
cana-786	123	28	documents	document	NOUN
cana-786	123	29	or	or	CCONJ
cana-786	123	30	databases	database	NOUN
cana-786	123	31	.	.	PUNCT
cana-786	124	1	this	this	DET
cana-786	124	2	closed	close	VERB
cana-786	124	3	-	-	PUNCT
cana-786	124	4	book	book	NOUN
cana-786	124	5	format	format	NOUN
cana-786	124	6	is	be	AUX
cana-786	124	7	particularly	particularly	ADV
cana-786	124	8	challenging	challenging	ADJ
cana-786	124	9	as	as	SCONJ
cana-786	124	10	it	it	PRON
cana-786	124	11	requires	require	VERB
cana-786	124	12	the	the	DET
cana-786	124	13	model	model	NOUN
cana-786	124	14	to	to	PART
cana-786	124	15	have	have	VERB
cana-786	124	16	a	a	DET
cana-786	124	17	comprehensive	comprehensive	ADJ
cana-786	124	18	and	and	CCONJ
cana-786	124	19	detailed	detailed	ADJ
cana-786	124	20	understanding	understanding	NOUN
cana-786	124	21	of	of	ADP
cana-786	124	22	a	a	DET
cana-786	124	23	wide	wide	ADJ
cana-786	124	24	range	range	NOUN
cana-786	124	25	of	of	ADP
cana-786	124	26	topics	topic	NOUN
cana-786	124	27	.	.	PUNCT
cana-786	125	1	swiftedlm	swiftedlm	PROPN
cana-786	125	2	’s	’s	PART
cana-786	125	3	high	high	ADJ
cana-786	125	4	score	score	NOUN
cana-786	125	5	indicates	indicate	VERB
cana-786	125	6	that	that	SCONJ
cana-786	125	7	during	during	ADP
cana-786	125	8	its	its	PRON
cana-786	125	9	pre	pre	ADJ
cana-786	125	10	-	-	ADJ
cana-786	125	11	training	training	ADJ
cana-786	125	12	phase	phase	NOUN
cana-786	125	13	,	,	PUNCT
cana-786	125	14	it	it	PRON
cana-786	125	15	has	have	AUX
cana-786	125	16	absorbed	absorb	VERB
cana-786	125	17	a	a	DET
cana-786	125	18	vast	vast	ADJ
cana-786	125	19	amount	amount	NOUN
cana-786	125	20	of	of	ADP
cana-786	125	21	information	information	NOUN
cana-786	125	22	from	from	ADP
cana-786	125	23	diverse	diverse	ADJ
cana-786	125	24	sources	source	NOUN
cana-786	125	25	,	,	PUNCT
cana-786	125	26	enabling	enable	VERB
cana-786	125	27	it	it	PRON
cana-786	125	28	to	to	PART
cana-786	125	29	answer	answer	VERB
cana-786	125	30	questions	question	NOUN
cana-786	125	31	across	across	ADP
cana-786	125	32	various	various	ADJ
cana-786	125	33	subjects	subject	NOUN
cana-786	125	34	accurately	accurately	ADV
cana-786	125	35	.	.	PUNCT
cana-786	126	1	this	this	DET
cana-786	126	2	internalization	internalization	NOUN
cana-786	126	3	of	of	ADP
cana-786	126	4	knowledge	knowledge	NOUN
cana-786	126	5	allows	allow	VERB
cana-786	126	6	swiftedlm	swiftedlm	PROPN
cana-786	126	7	to	to	PART
cana-786	126	8	function	function	VERB
cana-786	126	9	effectively	effectively	ADV
cana-786	126	10	in	in	ADP
cana-786	126	11	scenarios	scenario	NOUN
cana-786	126	12	where	where	SCONJ
cana-786	126	13	access	access	NOUN
cana-786	126	14	to	to	ADP
cana-786	126	15	external	external	ADJ
cana-786	126	16	information	information	NOUN
cana-786	126	17	is	be	AUX
cana-786	126	18	not	not	PART
cana-786	126	19	possible	possible	ADJ
cana-786	126	20	or	or	CCONJ
cana-786	126	21	practical	practical	ADJ
cana-786	126	22	.	.	PUNCT
cana-786	127	1	furthermore	furthermore	ADV
cana-786	127	2	,	,	PUNCT
cana-786	127	3	the	the	DET
cana-786	127	4	model	model	NOUN
cana-786	127	5	’s	’s	PART
cana-786	127	6	performance	performance	NOUN
cana-786	127	7	on	on	ADP
cana-786	127	8	the	the	DET
cana-786	127	9	webquestions	webquestion	NOUN
cana-786	127	10	benchmark	benchmark	NOUN
cana-786	127	11	suggests	suggest	VERB
cana-786	127	12	that	that	SCONJ
cana-786	127	13	it	it	PRON
cana-786	127	14	can	can	AUX
cana-786	127	15	understand	understand	VERB
cana-786	127	16	the	the	DET
cana-786	127	17	intent	intent	NOUN
cana-786	127	18	behind	behind	ADP
cana-786	127	19	users	user	NOUN
cana-786	127	20	’	’	PART
cana-786	127	21	queries	query	NOUN
cana-786	127	22	and	and	CCONJ
cana-786	127	23	provide	provide	VERB
cana-786	127	24	responses	response	NOUN
cana-786	127	25	that	that	PRON
cana-786	127	26	are	be	AUX
cana-786	127	27	not	not	PART
cana-786	127	28	only	only	ADV
cana-786	127	29	factually	factually	ADV
cana-786	127	30	correct	correct	ADJ
cana-786	127	31	but	but	CCONJ
cana-786	127	32	also	also	ADV
cana-786	127	33	contextually	contextually	ADV
cana-786	127	34	relevant	relevant	ADJ
cana-786	127	35	.	.	PUNCT
cana-786	128	1	this	this	DET
cana-786	128	2	ability	ability	NOUN
cana-786	128	3	is	be	AUX
cana-786	128	4	crucial	crucial	ADJ
cana-786	128	5	for	for	ADP
cana-786	128	6	applications	application	NOUN
cana-786	128	7	such	such	ADJ
cana-786	128	8	as	as	ADP
cana-786	128	9	virtual	virtual	ADJ
cana-786	128	10	assistants	assistant	NOUN
cana-786	128	11	,	,	PUNCT
cana-786	128	12	search	search	NOUN
cana-786	128	13	communications	communication	NOUN
cana-786	128	14	on	on	ADP
cana-786	128	15	applied	apply	VERB
cana-786	128	16	nonlinear	nonlinear	ADJ
cana-786	128	17	analysis	analysis	NOUN
cana-786	128	18	issn	issn	NOUN
cana-786	128	19	:	:	PUNCT
cana-786	128	20	1074	1074	NUM
cana-786	128	21	-	-	PUNCT
cana-786	128	22	133x	133x	NUM
cana-786	128	23	vol	vol	NOUN
cana-786	128	24	31	31	NUM
cana-786	128	25	no	no	NOUN
cana-786	128	26	.	.	PUNCT
cana-786	129	1	3s	3s	NUM
cana-786	129	2	(	(	PUNCT
cana-786	129	3	2024	2024	NUM
cana-786	129	4	)	)	PUNCT
cana-786	129	5	363	363	NUM
cana-786	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	129	7	engines	engine	NOUN
cana-786	129	8	,	,	PUNCT
cana-786	129	9	and	and	CCONJ
cana-786	129	10	educational	educational	ADJ
cana-786	129	11	tools	tool	NOUN
cana-786	129	12	,	,	PUNCT
cana-786	129	13	where	where	SCONJ
cana-786	129	14	providing	provide	VERB
cana-786	129	15	precise	precise	ADJ
cana-786	129	16	and	and	CCONJ
cana-786	129	17	helpful	helpful	ADJ
cana-786	129	18	information	information	NOUN
cana-786	129	19	in	in	ADP
cana-786	129	20	response	response	NOUN
cana-786	129	21	to	to	ADP
cana-786	129	22	user	user	NOUN
cana-786	129	23	inquiries	inquiry	NOUN
cana-786	129	24	is	be	AUX
cana-786	129	25	paramount	paramount	ADJ
cana-786	129	26	.	.	PUNCT
cana-786	130	1	3.4	3.4	NUM
cana-786	130	2	winogrande	winogrande	VERB
cana-786	130	3	the	the	DET
cana-786	130	4	winogrande	winogrande	NOUN
cana-786	130	5	benchmark	benchmark	NOUN
cana-786	130	6	is	be	AUX
cana-786	130	7	a	a	DET
cana-786	130	8	formidable	formidable	ADJ
cana-786	130	9	test	test	NOUN
cana-786	130	10	of	of	ADP
cana-786	130	11	a	a	DET
cana-786	130	12	language	language	NOUN
cana-786	130	13	model	model	NOUN
cana-786	130	14	’s	’s	PART
cana-786	130	15	ability	ability	NOUN
cana-786	130	16	to	to	PART
cana-786	130	17	resolve	resolve	VERB
cana-786	130	18	ambiguous	ambiguous	ADJ
cana-786	130	19	pronouns	pronoun	NOUN
cana-786	130	20	,	,	PUNCT
cana-786	130	21	a	a	DET
cana-786	130	22	task	task	NOUN
cana-786	130	23	that	that	PRON
cana-786	130	24	is	be	AUX
cana-786	130	25	notoriously	notoriously	ADV
cana-786	130	26	difficult	difficult	ADJ
cana-786	130	27	for	for	SCONJ
cana-786	130	28	ai	ai	VERB
cana-786	130	29	due	due	ADP
cana-786	130	30	to	to	ADP
cana-786	130	31	the	the	DET
cana-786	130	32	subtleties	subtlety	NOUN
cana-786	130	33	and	and	CCONJ
cana-786	130	34	complexities	complexity	NOUN
cana-786	130	35	of	of	ADP
cana-786	130	36	human	human	ADJ
cana-786	130	37	language	language	NOUN
cana-786	130	38	.	.	PUNCT
cana-786	131	1	swiftedlm	swiftedlm	PROPN
cana-786	131	2	’s	’s	PART
cana-786	131	3	remarkable	remarkable	ADJ
cana-786	131	4	score	score	NOUN
cana-786	131	5	of	of	ADP
cana-786	131	6	95.5	95.5	NUM
cana-786	131	7	on	on	ADP
cana-786	131	8	this	this	DET
cana-786	131	9	benchmark	benchmark	NOUN
cana-786	131	10	is	be	AUX
cana-786	131	11	not	not	PART
cana-786	131	12	just	just	ADV
cana-786	131	13	a	a	DET
cana-786	131	14	reflection	reflection	NOUN
cana-786	131	15	of	of	ADP
cana-786	131	16	its	its	PRON
cana-786	131	17	technical	technical	ADJ
cana-786	131	18	proficiency	proficiency	NOUN
cana-786	131	19	but	but	CCONJ
cana-786	131	20	also	also	ADV
cana-786	131	21	of	of	ADP
cana-786	131	22	its	its	PRON
cana-786	131	23	deep	deep	ADJ
cana-786	131	24	linguistic	linguistic	ADJ
cana-786	131	25	intelligence	intelligence	NOUN
cana-786	131	26	.	.	PUNCT
cana-786	132	1	winogrande	winogrande	PROPN
cana-786	132	2	presents	present	NOUN
cana-786	132	3	language	language	NOUN
cana-786	132	4	models	model	NOUN
cana-786	132	5	with	with	ADP
cana-786	132	6	sentences	sentence	NOUN
cana-786	132	7	containing	contain	VERB
cana-786	132	8	pronouns	pronoun	NOUN
cana-786	132	9	whose	whose	DET
cana-786	132	10	antecedents	antecedent	NOUN
cana-786	132	11	are	be	AUX
cana-786	132	12	not	not	PART
cana-786	132	13	immediately	immediately	ADV
cana-786	132	14	clear	clear	ADJ
cana-786	132	15	.	.	PUNCT
cana-786	133	1	to	to	PART
cana-786	133	2	successfully	successfully	ADV
cana-786	133	3	determine	determine	VERB
cana-786	133	4	the	the	DET
cana-786	133	5	correct	correct	ADJ
cana-786	133	6	antecedent	antecedent	NOUN
cana-786	133	7	,	,	PUNCT
cana-786	133	8	a	a	DET
cana-786	133	9	model	model	NOUN
cana-786	133	10	must	must	AUX
cana-786	133	11	understand	understand	VERB
cana-786	133	12	the	the	DET
cana-786	133	13	sentence	sentence	NOUN
cana-786	133	14	’s	’s	PART
cana-786	133	15	context	context	NOUN
cana-786	133	16	,	,	PUNCT
cana-786	133	17	the	the	DET
cana-786	133	18	roles	role	NOUN
cana-786	133	19	of	of	ADP
cana-786	133	20	different	different	ADJ
cana-786	133	21	entities	entity	NOUN
cana-786	133	22	within	within	ADP
cana-786	133	23	it	it	PRON
cana-786	133	24	,	,	PUNCT
cana-786	133	25	and	and	CCONJ
cana-786	133	26	how	how	SCONJ
cana-786	133	27	they	they	PRON
cana-786	133	28	relate	relate	VERB
cana-786	133	29	to	to	ADP
cana-786	133	30	one	one	NUM
cana-786	133	31	another	another	DET
cana-786	133	32	.	.	PUNCT
cana-786	134	1	this	this	PRON
cana-786	134	2	requires	require	VERB
cana-786	134	3	a	a	DET
cana-786	134	4	nuanced	nuanced	ADJ
cana-786	134	5	understanding	understanding	NOUN
cana-786	134	6	of	of	ADP
cana-786	134	7	grammar	grammar	NOUN
cana-786	134	8	,	,	PUNCT
cana-786	134	9	common	common	ADJ
cana-786	134	10	sense	sense	NOUN
cana-786	134	11	knowledge	knowledge	NOUN
cana-786	134	12	,	,	PUNCT
cana-786	134	13	and	and	CCONJ
cana-786	134	14	the	the	DET
cana-786	134	15	ability	ability	NOUN
cana-786	134	16	to	to	PART
cana-786	134	17	infer	infer	VERB
cana-786	134	18	relationships	relationship	NOUN
cana-786	134	19	that	that	PRON
cana-786	134	20	are	be	AUX
cana-786	134	21	often	often	ADV
cana-786	134	22	implicit	implicit	ADJ
cana-786	134	23	rather	rather	ADV
cana-786	134	24	than	than	SCONJ
cana-786	134	25	explicitly	explicitly	ADV
cana-786	134	26	stated	state	VERB
cana-786	134	27	.	.	PUNCT
cana-786	135	1	swiftedlm	swiftedlm	PROPN
cana-786	135	2	’s	’s	PART
cana-786	135	3	high	high	ADJ
cana-786	135	4	score	score	NOUN
cana-786	135	5	indicates	indicate	VERB
cana-786	135	6	that	that	SCONJ
cana-786	135	7	it	it	PRON
cana-786	135	8	has	have	AUX
cana-786	135	9	effectively	effectively	ADV
cana-786	135	10	learned	learn	VERB
cana-786	135	11	these	these	DET
cana-786	135	12	complex	complex	ADJ
cana-786	135	13	linguistic	linguistic	ADJ
cana-786	135	14	patterns	pattern	NOUN
cana-786	135	15	and	and	CCONJ
cana-786	135	16	can	can	AUX
cana-786	135	17	apply	apply	VERB
cana-786	135	18	this	this	DET
cana-786	135	19	knowledge	knowledge	NOUN
cana-786	135	20	to	to	PART
cana-786	135	21	accurately	accurately	ADV
cana-786	135	22	resolve	resolve	VERB
cana-786	135	23	pronoun	pronoun	ADJ
cana-786	135	24	references	reference	NOUN
cana-786	135	25	.	.	PUNCT
cana-786	136	1	this	this	DET
cana-786	136	2	capability	capability	NOUN
cana-786	136	3	is	be	AUX
cana-786	136	4	crucial	crucial	ADJ
cana-786	136	5	for	for	ADP
cana-786	136	6	any	any	DET
cana-786	136	7	application	application	NOUN
cana-786	136	8	involving	involve	VERB
cana-786	136	9	natural	natural	ADJ
cana-786	136	10	language	language	NOUN
cana-786	136	11	understanding	understanding	NOUN
cana-786	136	12	,	,	PUNCT
cana-786	136	13	such	such	ADJ
cana-786	136	14	as	as	ADP
cana-786	136	15	reading	read	VERB
cana-786	136	16	comprehension	comprehension	NOUN
cana-786	136	17	systems	system	NOUN
cana-786	136	18	,	,	PUNCT
cana-786	136	19	dialogue	dialogue	NOUN
cana-786	136	20	agents	agent	NOUN
cana-786	136	21	,	,	PUNCT
cana-786	136	22	and	and	CCONJ
cana-786	136	23	writing	write	VERB
cana-786	136	24	assistants	assistant	NOUN
cana-786	136	25	,	,	PUNCT
cana-786	136	26	where	where	SCONJ
cana-786	136	27	the	the	DET
cana-786	136	28	ability	ability	NOUN
cana-786	136	29	to	to	PART
cana-786	136	30	understand	understand	VERB
cana-786	136	31	and	and	CCONJ
cana-786	136	32	generate	generate	VERB
cana-786	136	33	coherent	coherent	ADJ
cana-786	136	34	and	and	CCONJ
cana-786	136	35	contextually	contextually	ADV
cana-786	136	36	appropriate	appropriate	ADJ
cana-786	136	37	text	text	NOUN
cana-786	136	38	is	be	AUX
cana-786	136	39	essential	essential	ADJ
cana-786	136	40	.	.	PUNCT
cana-786	137	1	swiftedlm	swiftedlm	PROPN
cana-786	137	2	’s	’s	PART
cana-786	137	3	performance	performance	NOUN
cana-786	137	4	on	on	ADP
cana-786	137	5	winogrande	winogrande	NOUN
cana-786	137	6	suggests	suggest	VERB
cana-786	137	7	that	that	SCONJ
cana-786	137	8	it	it	PRON
cana-786	137	9	can	can	AUX
cana-786	137	10	handle	handle	VERB
cana-786	137	11	the	the	DET
cana-786	137	12	kind	kind	NOUN
cana-786	137	13	of	of	ADP
cana-786	137	14	ambiguity	ambiguity	NOUN
cana-786	137	15	that	that	PRON
cana-786	137	16	often	often	ADV
cana-786	137	17	arises	arise	VERB
cana-786	137	18	in	in	ADP
cana-786	137	19	natural	natural	ADJ
cana-786	137	20	language	language	NOUN
cana-786	137	21	,	,	PUNCT
cana-786	137	22	making	make	VERB
cana-786	137	23	it	it	PRON
cana-786	137	24	well	well	ADV
cana-786	137	25	-	-	PUNCT
cana-786	137	26	suited	suit	VERB
cana-786	137	27	for	for	ADP
cana-786	137	28	tasks	task	NOUN
cana-786	137	29	that	that	PRON
cana-786	137	30	require	require	VERB
cana-786	137	31	a	a	DET
cana-786	137	32	sophisticated	sophisticated	ADJ
cana-786	137	33	grasp	grasp	NOUN
cana-786	137	34	of	of	ADP
cana-786	137	35	language	language	NOUN
cana-786	137	36	nuances	nuance	NOUN
cana-786	137	37	.	.	PUNCT
cana-786	138	1	this	this	PRON
cana-786	138	2	includes	include	VERB
cana-786	138	3	interpreting	interpret	VERB
cana-786	138	4	legal	legal	ADJ
cana-786	138	5	documents	document	NOUN
cana-786	138	6	,	,	PUNCT
cana-786	138	7	literary	literary	ADJ
cana-786	138	8	analysis	analysis	NOUN
cana-786	138	9	,	,	PUNCT
cana-786	138	10	and	and	CCONJ
cana-786	138	11	even	even	ADV
cana-786	138	12	engaging	engage	VERB
cana-786	138	13	in	in	ADP
cana-786	138	14	nuanced	nuanced	ADJ
cana-786	138	15	conversations	conversation	NOUN
cana-786	138	16	where	where	SCONJ
cana-786	138	17	pronouns	pronoun	NOUN
cana-786	138	18	play	play	VERB
cana-786	138	19	a	a	DET
cana-786	138	20	critical	critical	ADJ
cana-786	138	21	role	role	NOUN
cana-786	138	22	in	in	ADP
cana-786	138	23	maintaining	maintain	VERB
cana-786	138	24	coherence	coherence	NOUN
cana-786	138	25	.	.	PUNCT
cana-786	139	1	3.5	3.5	NUM
cana-786	139	2	mmlu	mmlu	NOUN
cana-786	139	3	the	the	DET
cana-786	139	4	multiple	multiple	ADJ
cana-786	139	5	-	-	PUNCT
cana-786	139	6	choice	choice	NOUN
cana-786	139	7	multidisciplinary	multidisciplinary	ADJ
cana-786	139	8	linguistic	linguistic	ADJ
cana-786	139	9	understanding	understanding	NOUN
cana-786	139	10	(	(	PUNCT
cana-786	139	11	mmlu	mmlu	NOUN
cana-786	139	12	)	)	PUNCT
cana-786	139	13	benchmark	benchmark	NOUN
cana-786	139	14	is	be	AUX
cana-786	139	15	a	a	DET
cana-786	139	16	comprehensive	comprehensive	ADJ
cana-786	139	17	test	test	NOUN
cana-786	139	18	that	that	PRON
cana-786	139	19	gauges	gauge	VERB
cana-786	139	20	a	a	DET
cana-786	139	21	language	language	NOUN
cana-786	139	22	model	model	NOUN
cana-786	139	23	’s	’s	PART
cana-786	139	24	ability	ability	NOUN
cana-786	139	25	to	to	PART
cana-786	139	26	understand	understand	VERB
cana-786	139	27	and	and	CCONJ
cana-786	139	28	process	process	VERB
cana-786	139	29	information	information	NOUN
cana-786	139	30	across	across	ADP
cana-786	139	31	a	a	DET
cana-786	139	32	vast	vast	ADJ
cana-786	139	33	array	array	NOUN
cana-786	139	34	of	of	ADP
cana-786	139	35	academic	academic	ADJ
cana-786	139	36	disciplines	discipline	NOUN
cana-786	139	37	.	.	PUNCT
cana-786	140	1	swiftedlm	swiftedlm	PROPN
cana-786	140	2	’s	’s	PART
cana-786	140	3	score	score	NOUN
cana-786	140	4	of	of	ADP
cana-786	140	5	79.8	79.8	NUM
cana-786	140	6	on	on	ADP
cana-786	140	7	this	this	DET
cana-786	140	8	benchmark	benchmark	NOUN
cana-786	140	9	is	be	AUX
cana-786	140	10	a	a	DET
cana-786	140	11	significant	significant	ADJ
cana-786	140	12	indicator	indicator	NOUN
cana-786	140	13	of	of	ADP
cana-786	140	14	its	its	PRON
cana-786	140	15	proficiency	proficiency	NOUN
cana-786	140	16	in	in	ADP
cana-786	140	17	dealing	deal	VERB
cana-786	140	18	with	with	ADP
cana-786	140	19	a	a	DET
cana-786	140	20	diverse	diverse	ADJ
cana-786	140	21	set	set	NOUN
cana-786	140	22	of	of	ADP
cana-786	140	23	complex	complex	ADJ
cana-786	140	24	topics	topic	NOUN
cana-786	140	25	,	,	PUNCT
cana-786	140	26	ranging	range	VERB
cana-786	140	27	from	from	ADP
cana-786	140	28	the	the	DET
cana-786	140	29	intricacies	intricacy	NOUN
cana-786	140	30	of	of	ADP
cana-786	140	31	science	science	NOUN
cana-786	140	32	to	to	ADP
cana-786	140	33	the	the	DET
cana-786	140	34	nuances	nuance	NOUN
cana-786	140	35	of	of	ADP
cana-786	140	36	the	the	DET
cana-786	140	37	humanities	humanity	NOUN
cana-786	140	38	.	.	PUNCT
cana-786	141	1	mmlu	mmlu	NOUN
cana-786	141	2	presents	present	VERB
cana-786	141	3	an	an	DET
cana-786	141	4	array	array	NOUN
cana-786	141	5	of	of	ADP
cana-786	141	6	multiple	multiple	ADJ
cana-786	141	7	-	-	PUNCT
cana-786	141	8	choice	choice	NOUN
cana-786	141	9	questions	question	NOUN
cana-786	141	10	that	that	PRON
cana-786	141	11	cover	cover	VERB
cana-786	141	12	over	over	ADP
cana-786	141	13	50	50	NUM
cana-786	141	14	subjects	subject	NOUN
cana-786	141	15	,	,	PUNCT
cana-786	141	16	including	include	VERB
cana-786	141	17	literature	literature	NOUN
cana-786	141	18	,	,	PUNCT
cana-786	141	19	history	history	NOUN
cana-786	141	20	,	,	PUNCT
cana-786	141	21	human	human	ADJ
cana-786	141	22	anatomy	anatomy	NOUN
cana-786	141	23	,	,	PUNCT
cana-786	141	24	computer	computer	NOUN
cana-786	141	25	science	science	NOUN
cana-786	141	26	,	,	PUNCT
cana-786	141	27	law	law	NOUN
cana-786	141	28	,	,	PUNCT
cana-786	141	29	and	and	CCONJ
cana-786	141	30	more	more	ADJ
cana-786	141	31	.	.	PUNCT
cana-786	142	1	each	each	DET
cana-786	142	2	question	question	NOUN
cana-786	142	3	is	be	AUX
cana-786	142	4	designed	design	VERB
cana-786	142	5	to	to	PART
cana-786	142	6	test	test	VERB
cana-786	142	7	the	the	DET
cana-786	142	8	model	model	NOUN
cana-786	142	9	’s	’s	PART
cana-786	142	10	knowledge	knowledge	NOUN
cana-786	142	11	and	and	CCONJ
cana-786	142	12	reasoning	reasoning	NOUN
cana-786	142	13	skills	skill	NOUN
cana-786	142	14	within	within	ADP
cana-786	142	15	these	these	DET
cana-786	142	16	domains	domain	NOUN
cana-786	142	17	.	.	PUNCT
cana-786	143	1	to	to	PART
cana-786	143	2	perform	perform	VERB
cana-786	143	3	well	well	ADV
cana-786	143	4	,	,	PUNCT
cana-786	143	5	a	a	DET
cana-786	143	6	model	model	NOUN
cana-786	143	7	must	must	AUX
cana-786	143	8	not	not	PART
cana-786	143	9	only	only	ADV
cana-786	143	10	have	have	VERB
cana-786	143	11	a	a	DET
cana-786	143	12	wide	wide	ADV
cana-786	143	13	-	-	PUNCT
cana-786	143	14	ranging	range	VERB
cana-786	143	15	internal	internal	ADJ
cana-786	143	16	knowledge	knowledge	NOUN
cana-786	143	17	base	base	NOUN
cana-786	143	18	but	but	CCONJ
cana-786	143	19	also	also	ADV
cana-786	143	20	the	the	DET
cana-786	143	21	ability	ability	NOUN
cana-786	143	22	to	to	PART
cana-786	143	23	apply	apply	VERB
cana-786	143	24	critical	critical	ADJ
cana-786	143	25	thinking	thinking	NOUN
cana-786	143	26	and	and	CCONJ
cana-786	143	27	deductive	deductive	ADJ
cana-786	143	28	reasoning	reasoning	NOUN
cana-786	143	29	to	to	PART
cana-786	143	30	select	select	VERB
cana-786	143	31	the	the	DET
cana-786	143	32	correct	correct	ADJ
cana-786	143	33	answer	answer	NOUN
cana-786	143	34	from	from	ADP
cana-786	143	35	several	several	ADJ
cana-786	143	36	plausible	plausible	ADJ
cana-786	143	37	options	option	NOUN
cana-786	143	38	.	.	PUNCT
cana-786	144	1	swiftedlm	swiftedlm	PROPN
cana-786	144	2	’s	’s	PART
cana-786	144	3	performance	performance	NOUN
cana-786	144	4	on	on	ADP
cana-786	144	5	the	the	DET
cana-786	144	6	mmlu	mmlu	ADJ
cana-786	144	7	benchmark	benchmark	NOUN
cana-786	144	8	suggests	suggest	VERB
cana-786	144	9	that	that	SCONJ
cana-786	144	10	it	it	PRON
cana-786	144	11	has	have	AUX
cana-786	144	12	effectively	effectively	ADV
cana-786	144	13	assimilated	assimilate	VERB
cana-786	144	14	a	a	DET
cana-786	144	15	wealth	wealth	NOUN
cana-786	144	16	of	of	ADP
cana-786	144	17	information	information	NOUN
cana-786	144	18	during	during	ADP
cana-786	144	19	its	its	PRON
cana-786	144	20	pre	pre	ADJ
cana-786	144	21	-	-	ADJ
cana-786	144	22	training	training	ADJ
cana-786	144	23	phase	phase	NOUN
cana-786	144	24	,	,	PUNCT
cana-786	144	25	equipping	equip	VERB
cana-786	144	26	it	it	PRON
cana-786	144	27	with	with	ADP
cana-786	144	28	a	a	DET
cana-786	144	29	deep	deep	ADJ
cana-786	144	30	reservoir	reservoir	NOUN
cana-786	144	31	of	of	ADP
cana-786	144	32	facts	fact	NOUN
cana-786	144	33	,	,	PUNCT
cana-786	144	34	concepts	concept	NOUN
cana-786	144	35	,	,	PUNCT
cana-786	144	36	and	and	CCONJ
cana-786	144	37	principles	principle	NOUN
cana-786	144	38	from	from	ADP
cana-786	144	39	various	various	ADJ
cana-786	144	40	fields	field	NOUN
cana-786	144	41	.	.	PUNCT
cana-786	145	1	this	this	DET
cana-786	145	2	extensive	extensive	ADJ
cana-786	145	3	knowledge	knowledge	NOUN
cana-786	145	4	base	base	NOUN
cana-786	145	5	enables	enable	VERB
cana-786	145	6	swiftedlm	swiftedlm	ADJ
cana-786	145	7	to	to	PART
cana-786	145	8	navigate	navigate	VERB
cana-786	145	9	through	through	ADP
cana-786	145	10	the	the	DET
cana-786	145	11	questions	question	NOUN
cana-786	145	12	with	with	ADP
cana-786	145	13	a	a	DET
cana-786	145	14	high	high	ADJ
cana-786	145	15	degree	degree	NOUN
cana-786	145	16	of	of	ADP
cana-786	145	17	accuracy	accuracy	NOUN
cana-786	145	18	and	and	CCONJ
cana-786	145	19	confidence	confidence	NOUN
cana-786	145	20	.	.	PUNCT
cana-786	146	1	moreover	moreover	ADV
cana-786	146	2	,	,	PUNCT
cana-786	146	3	the	the	DET
cana-786	146	4	model	model	NOUN
cana-786	146	5	’s	’s	PART
cana-786	146	6	ability	ability	NOUN
cana-786	146	7	to	to	PART
cana-786	146	8	score	score	VERB
cana-786	146	9	well	well	ADV
cana-786	146	10	on	on	ADP
cana-786	146	11	mmlu	mmlu	NOUN
cana-786	146	12	indicates	indicate	VERB
cana-786	146	13	that	that	SCONJ
cana-786	146	14	it	it	PRON
cana-786	146	15	can	can	AUX
cana-786	146	16	contextualize	contextualize	VERB
cana-786	146	17	information	information	NOUN
cana-786	146	18	and	and	CCONJ
cana-786	146	19	discern	discern	ADJ
cana-786	146	20	subtle	subtle	ADJ
cana-786	146	21	differences	difference	NOUN
cana-786	146	22	between	between	ADP
cana-786	146	23	answer	answer	NOUN
cana-786	146	24	choices	choice	NOUN
cana-786	146	25	.	.	PUNCT
cana-786	147	1	this	this	DET
cana-786	147	2	level	level	NOUN
cana-786	147	3	of	of	ADP
cana-786	147	4	comprehension	comprehension	NOUN
cana-786	147	5	is	be	AUX
cana-786	147	6	essential	essential	ADJ
cana-786	147	7	for	for	SCONJ
cana-786	147	8	communications	communication	NOUN
cana-786	147	9	on	on	ADP
cana-786	147	10	applied	apply	VERB
cana-786	147	11	nonlinear	nonlinear	ADJ
cana-786	147	12	analysis	analysis	NOUN
cana-786	147	13	issn	issn	NOUN
cana-786	147	14	:	:	PUNCT
cana-786	147	15	1074	1074	NUM
cana-786	147	16	-	-	PUNCT
cana-786	147	17	133x	133x	NUM
cana-786	147	18	vol	vol	NOUN
cana-786	147	19	31	31	NUM
cana-786	147	20	no	no	NOUN
cana-786	147	21	.	.	PUNCT
cana-786	148	1	3s	3s	NUM
cana-786	148	2	(	(	PUNCT
cana-786	148	3	2024	2024	NUM
cana-786	148	4	)	)	PUNCT
cana-786	148	5	364	364	NUM
cana-786	148	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	148	7	applications	application	NOUN
cana-786	148	8	that	that	PRON
cana-786	148	9	require	require	VERB
cana-786	148	10	a	a	DET
cana-786	148	11	sophisticated	sophisticated	ADJ
cana-786	148	12	understanding	understanding	NOUN
cana-786	148	13	of	of	ADP
cana-786	148	14	specialized	specialized	ADJ
cana-786	148	15	content	content	NOUN
cana-786	148	16	,	,	PUNCT
cana-786	148	17	such	such	ADJ
cana-786	148	18	as	as	ADP
cana-786	148	19	educational	educational	ADJ
cana-786	148	20	platforms	platform	NOUN
cana-786	148	21	,	,	PUNCT
cana-786	148	22	expert	expert	NOUN
cana-786	148	23	systems	system	NOUN
cana-786	148	24	,	,	PUNCT
cana-786	148	25	and	and	CCONJ
cana-786	148	26	advanced	advanced	ADJ
cana-786	148	27	research	research	NOUN
cana-786	148	28	tools	tool	NOUN
cana-786	148	29	.	.	PUNCT
cana-786	149	1	3.6	3.6	NUM
cana-786	149	2	humaneval	humaneval	NOUN
cana-786	149	3	the	the	DET
cana-786	149	4	humaneval	humaneval	PROPN
cana-786	149	5	benchmark	benchmark	NOUN
cana-786	149	6	is	be	AUX
cana-786	149	7	a	a	DET
cana-786	149	8	distinctive	distinctive	ADJ
cana-786	149	9	and	and	CCONJ
cana-786	149	10	challenging	challenging	ADJ
cana-786	149	11	test	test	NOUN
cana-786	149	12	that	that	PRON
cana-786	149	13	evaluates	evaluate	VERB
cana-786	149	14	a	a	DET
cana-786	149	15	language	language	NOUN
cana-786	149	16	model	model	NOUN
cana-786	149	17	’s	’s	PART
cana-786	149	18	proficiency	proficiency	NOUN
cana-786	149	19	in	in	ADP
cana-786	149	20	code	code	NOUN
cana-786	149	21	generation	generation	NOUN
cana-786	149	22	and	and	CCONJ
cana-786	149	23	its	its	PRON
cana-786	149	24	ability	ability	NOUN
cana-786	149	25	to	to	PART
cana-786	149	26	solve	solve	VERB
cana-786	149	27	programming	programming	NOUN
cana-786	149	28	problems	problem	NOUN
cana-786	149	29	.	.	PUNCT
cana-786	150	1	swiftedlm	swiftedlm	PROPN
cana-786	150	2	’s	’s	PART
cana-786	150	3	score	score	NOUN
cana-786	150	4	of	of	ADP
cana-786	150	5	57.8	57.8	NUM
cana-786	150	6	in	in	ADP
cana-786	150	7	this	this	DET
cana-786	150	8	benchmark	benchmark	NOUN
cana-786	150	9	is	be	AUX
cana-786	150	10	a	a	DET
cana-786	150	11	compelling	compelling	ADJ
cana-786	150	12	testament	testament	NOUN
cana-786	150	13	to	to	ADP
cana-786	150	14	its	its	PRON
cana-786	150	15	capabilities	capability	NOUN
cana-786	150	16	as	as	ADP
cana-786	150	17	an	an	DET
cana-786	150	18	aid	aid	NOUN
cana-786	150	19	for	for	ADP
cana-786	150	20	developers	developer	NOUN
cana-786	150	21	and	and	CCONJ
cana-786	150	22	a	a	DET
cana-786	150	23	tool	tool	NOUN
cana-786	150	24	for	for	ADP
cana-786	150	25	automating	automate	VERB
cana-786	150	26	coding	code	VERB
cana-786	150	27	tasks	task	NOUN
cana-786	150	28	.	.	PUNCT
cana-786	151	1	humaneval	humaneval	PROPN
cana-786	151	2	consists	consist	VERB
cana-786	151	3	of	of	ADP
cana-786	151	4	a	a	DET
cana-786	151	5	series	series	NOUN
cana-786	151	6	of	of	ADP
cana-786	151	7	programming	programming	NOUN
cana-786	151	8	exercises	exercise	NOUN
cana-786	151	9	that	that	PRON
cana-786	151	10	require	require	VERB
cana-786	151	11	the	the	DET
cana-786	151	12	model	model	NOUN
cana-786	151	13	to	to	PART
cana-786	151	14	understand	understand	VERB
cana-786	151	15	problem	problem	NOUN
cana-786	151	16	statements	statement	NOUN
cana-786	151	17	,	,	PUNCT
cana-786	151	18	generate	generate	VERB
cana-786	151	19	code	code	NOUN
cana-786	151	20	snippets	snippet	NOUN
cana-786	151	21	that	that	PRON
cana-786	151	22	solve	solve	VERB
cana-786	151	23	the	the	DET
cana-786	151	24	given	give	VERB
cana-786	151	25	problems	problem	NOUN
cana-786	151	26	,	,	PUNCT
cana-786	151	27	and	and	CCONJ
cana-786	151	28	ensure	ensure	VERB
cana-786	151	29	that	that	SCONJ
cana-786	151	30	the	the	DET
cana-786	151	31	code	code	NOUN
cana-786	151	32	is	be	AUX
cana-786	151	33	syntactically	syntactically	ADV
cana-786	151	34	correct	correct	ADJ
cana-786	151	35	and	and	CCONJ
cana-786	151	36	logically	logically	ADV
cana-786	151	37	sound	sound	ADJ
cana-786	151	38	.	.	PUNCT
cana-786	152	1	the	the	DET
cana-786	152	2	benchmark	benchmark	NOUN
cana-786	152	3	assesses	assess	VERB
cana-786	152	4	the	the	DET
cana-786	152	5	model	model	NOUN
cana-786	152	6	’s	’s	PART
cana-786	152	7	ability	ability	NOUN
cana-786	152	8	to	to	PART
cana-786	152	9	engage	engage	VERB
cana-786	152	10	with	with	ADP
cana-786	152	11	a	a	DET
cana-786	152	12	variety	variety	NOUN
cana-786	152	13	of	of	ADP
cana-786	152	14	programming	programming	NOUN
cana-786	152	15	concepts	concept	NOUN
cana-786	152	16	,	,	PUNCT
cana-786	152	17	from	from	ADP
cana-786	152	18	basic	basic	ADJ
cana-786	152	19	control	control	NOUN
cana-786	152	20	structures	structure	NOUN
cana-786	152	21	to	to	ADP
cana-786	152	22	more	more	ADV
cana-786	152	23	complex	complex	ADJ
cana-786	152	24	algorithms	algorithm	NOUN
cana-786	152	25	and	and	CCONJ
cana-786	152	26	data	datum	NOUN
cana-786	152	27	structures	structure	NOUN
cana-786	152	28	.	.	PUNCT
cana-786	153	1	swiftedlm	swiftedlm	PROPN
cana-786	153	2	’s	’s	PART
cana-786	153	3	performance	performance	NOUN
cana-786	153	4	on	on	ADP
cana-786	153	5	humaneval	humaneval	NOUN
cana-786	153	6	indicates	indicate	VERB
cana-786	153	7	that	that	SCONJ
cana-786	153	8	it	it	PRON
cana-786	153	9	has	have	VERB
cana-786	153	10	a	a	DET
cana-786	153	11	solid	solid	ADJ
cana-786	153	12	grasp	grasp	NOUN
cana-786	153	13	of	of	ADP
cana-786	153	14	programming	programming	NOUN
cana-786	153	15	languages	language	NOUN
cana-786	153	16	and	and	CCONJ
cana-786	153	17	can	can	AUX
cana-786	153	18	effectively	effectively	ADV
cana-786	153	19	translate	translate	VERB
cana-786	153	20	problem	problem	NOUN
cana-786	153	21	statements	statement	NOUN
cana-786	153	22	into	into	ADP
cana-786	153	23	executable	executable	ADJ
cana-786	153	24	code	code	NOUN
cana-786	153	25	.	.	PUNCT
cana-786	154	1	this	this	DET
cana-786	154	2	ability	ability	NOUN
cana-786	154	3	is	be	AUX
cana-786	154	4	crucial	crucial	ADJ
cana-786	154	5	for	for	ADP
cana-786	154	6	a	a	DET
cana-786	154	7	wide	wide	ADJ
cana-786	154	8	range	range	NOUN
cana-786	154	9	of	of	ADP
cana-786	154	10	applications	application	NOUN
cana-786	154	11	in	in	ADP
cana-786	154	12	the	the	DET
cana-786	154	13	technical	technical	ADJ
cana-786	154	14	domain	domain	NOUN
cana-786	154	15	,	,	PUNCT
cana-786	154	16	such	such	ADJ
cana-786	154	17	as	as	ADP
cana-786	154	18	automated	automate	VERB
cana-786	154	19	debugging	debugging	NOUN
cana-786	154	20	,	,	PUNCT
cana-786	154	21	code	code	NOUN
cana-786	154	22	completion	completion	NOUN
cana-786	154	23	in	in	ADP
cana-786	154	24	integrated	integrate	VERB
cana-786	154	25	development	development	NOUN
cana-786	154	26	environments	environment	NOUN
cana-786	154	27	(	(	PUNCT
cana-786	154	28	ides	ide	NOUN
cana-786	154	29	)	)	PUNCT
cana-786	154	30	,	,	PUNCT
cana-786	154	31	and	and	CCONJ
cana-786	154	32	even	even	ADV
cana-786	154	33	the	the	DET
cana-786	154	34	generation	generation	NOUN
cana-786	154	35	of	of	ADP
cana-786	154	36	entire	entire	ADJ
cana-786	154	37	codebases	codebase	NOUN
cana-786	154	38	for	for	ADP
cana-786	154	39	specific	specific	ADJ
cana-786	154	40	tasks	task	NOUN
cana-786	154	41	.	.	PUNCT
cana-786	155	1	moreover	moreover	ADV
cana-786	155	2	,	,	PUNCT
cana-786	155	3	the	the	DET
cana-786	155	4	model	model	NOUN
cana-786	155	5	’s	’s	PART
cana-786	155	6	score	score	NOUN
cana-786	155	7	suggests	suggest	VERB
cana-786	155	8	that	that	SCONJ
cana-786	155	9	it	it	PRON
cana-786	155	10	can	can	AUX
cana-786	155	11	serve	serve	VERB
cana-786	155	12	as	as	ADP
cana-786	155	13	a	a	DET
cana-786	155	14	collaborative	collaborative	ADJ
cana-786	155	15	partner	partner	NOUN
cana-786	155	16	for	for	ADP
cana-786	155	17	developers	developer	NOUN
cana-786	155	18	,	,	PUNCT
cana-786	155	19	providing	provide	VERB
cana-786	155	20	suggestions	suggestion	NOUN
cana-786	155	21	and	and	CCONJ
cana-786	155	22	solutions	solution	NOUN
cana-786	155	23	that	that	PRON
cana-786	155	24	can	can	AUX
cana-786	155	25	streamline	streamline	VERB
cana-786	155	26	the	the	DET
cana-786	155	27	development	development	NOUN
cana-786	155	28	process	process	NOUN
cana-786	155	29	.	.	PUNCT
cana-786	156	1	swiftedlm	swiftedlm	PROPN
cana-786	156	2	’s	’s	PART
cana-786	156	3	potential	potential	NOUN
cana-786	156	4	to	to	PART
cana-786	156	5	automate	automate	VERB
cana-786	156	6	repetitive	repetitive	ADJ
cana-786	156	7	coding	code	VERB
cana-786	156	8	tasks	task	NOUN
cana-786	156	9	can	can	AUX
cana-786	156	10	significantly	significantly	ADV
cana-786	156	11	enhance	enhance	VERB
cana-786	156	12	productivity	productivity	NOUN
cana-786	156	13	and	and	CCONJ
cana-786	156	14	allow	allow	VERB
cana-786	156	15	human	human	ADJ
cana-786	156	16	programmers	programmer	NOUN
cana-786	156	17	to	to	PART
cana-786	156	18	focus	focus	VERB
cana-786	156	19	on	on	ADP
cana-786	156	20	more	more	ADV
cana-786	156	21	creative	creative	ADJ
cana-786	156	22	and	and	CCONJ
cana-786	156	23	complex	complex	ADJ
cana-786	156	24	aspects	aspect	NOUN
cana-786	156	25	of	of	ADP
cana-786	156	26	software	software	NOUN
cana-786	156	27	development	development	NOUN
cana-786	156	28	.	.	PUNCT
cana-786	157	1	4	4	X
cana-786	157	2	.	.	X
cana-786	157	3	conclusion	conclusion	NOUN
cana-786	157	4	swiftedlm	swiftedlm	ADJ
cana-786	157	5	architecture	architecture	NOUN
cana-786	157	6	represents	represent	VERB
cana-786	157	7	a	a	DET
cana-786	157	8	significant	significant	ADJ
cana-786	157	9	stride	stride	NOUN
cana-786	157	10	in	in	ADP
cana-786	157	11	the	the	DET
cana-786	157	12	evolution	evolution	NOUN
cana-786	157	13	of	of	ADP
cana-786	157	14	large	large	ADJ
cana-786	157	15	language	language	NOUN
cana-786	157	16	models	model	NOUN
cana-786	157	17	(	(	PUNCT
cana-786	157	18	llms)[19,20	llms)[19,20	X
cana-786	157	19	]	]	PUNCT
cana-786	157	20	,	,	PUNCT
cana-786	157	21	offering	offer	VERB
cana-786	157	22	a	a	DET
cana-786	157	23	holistic	holistic	ADJ
cana-786	157	24	solution	solution	NOUN
cana-786	157	25	to	to	ADP
cana-786	157	26	the	the	DET
cana-786	157	27	perennial	perennial	ADJ
cana-786	157	28	challenge	challenge	NOUN
cana-786	157	29	of	of	ADP
cana-786	157	30	reconciling	reconciling	NOUN
cana-786	157	31	model	model	NOUN
cana-786	157	32	size	size	NOUN
cana-786	157	33	reduction	reduction	NOUN
cana-786	157	34	with	with	ADP
cana-786	157	35	sustained	sustained	ADJ
cana-786	157	36	high	high	ADJ
cana-786	157	37	-	-	PUNCT
cana-786	157	38	performance	performance	NOUN
cana-786	157	39	across	across	ADP
cana-786	157	40	various	various	ADJ
cana-786	157	41	natural	natural	ADJ
cana-786	157	42	language	language	NOUN
cana-786	157	43	processing	processing	NOUN
cana-786	157	44	(	(	PUNCT
cana-786	157	45	nlp	nlp	NOUN
cana-786	157	46	)	)	PUNCT
cana-786	157	47	tasks	task	NOUN
cana-786	157	48	.	.	PUNCT
cana-786	158	1	our	our	PRON
cana-786	158	2	exploration	exploration	NOUN
cana-786	158	3	of	of	ADP
cana-786	158	4	swiftedlm	swiftedlm	PROPN
cana-786	158	5	has	have	AUX
cana-786	158	6	revealed	reveal	VERB
cana-786	158	7	the	the	DET
cana-786	158	8	transformative	transformative	ADJ
cana-786	158	9	potential	potential	NOUN
cana-786	158	10	of	of	ADP
cana-786	158	11	integrating	integrate	VERB
cana-786	158	12	swiglu	swiglu	PROPN
cana-786	158	13	,	,	PUNCT
cana-786	158	14	underscoring	underscore	VERB
cana-786	158	15	its	its	PRON
cana-786	158	16	role	role	NOUN
cana-786	158	17	in	in	ADP
cana-786	158	18	enhancing	enhance	VERB
cana-786	158	19	decoding	decode	VERB
cana-786	158	20	mechanisms	mechanism	NOUN
cana-786	158	21	and	and	CCONJ
cana-786	158	22	,	,	PUNCT
cana-786	158	23	consequently	consequently	ADV
cana-786	158	24	,	,	PUNCT
cana-786	158	25	elevating	elevate	VERB
cana-786	158	26	the	the	DET
cana-786	158	27	model	model	NOUN
cana-786	158	28	's	's	PART
cana-786	158	29	efficacy	efficacy	NOUN
cana-786	158	30	.	.	PUNCT
cana-786	159	1	through	through	ADP
cana-786	159	2	a	a	DET
cana-786	159	3	series	series	NOUN
cana-786	159	4	of	of	ADP
cana-786	159	5	comprehensive	comprehensive	ADJ
cana-786	159	6	experiments	experiment	NOUN
cana-786	159	7	,	,	PUNCT
cana-786	159	8	we	we	PRON
cana-786	159	9	have	have	AUX
cana-786	159	10	established	establish	VERB
cana-786	159	11	the	the	DET
cana-786	159	12	superior	superior	ADJ
cana-786	159	13	performance	performance	NOUN
cana-786	159	14	of	of	ADP
cana-786	159	15	swiftedlm	swiftedlm	NOUN
cana-786	159	16	in	in	ADP
cana-786	159	17	comparison	comparison	NOUN
cana-786	159	18	to	to	ADP
cana-786	159	19	existing	exist	VERB
cana-786	159	20	models	model	NOUN
cana-786	159	21	,	,	PUNCT
cana-786	159	22	showcasing	showcase	VERB
cana-786	159	23	its	its	PRON
cana-786	159	24	versatility	versatility	NOUN
cana-786	159	25	across	across	ADP
cana-786	159	26	a	a	DET
cana-786	159	27	diverse	diverse	ADJ
cana-786	159	28	range	range	NOUN
cana-786	159	29	of	of	ADP
cana-786	159	30	language	language	NOUN
cana-786	159	31	tasks	task	NOUN
cana-786	159	32	.	.	PUNCT
cana-786	160	1	the	the	DET
cana-786	160	2	fine	fine	ADV
cana-786	160	3	-	-	PUNCT
cana-786	160	4	tuning	tune	VERB
cana-786	160	5	capabilities	capability	NOUN
cana-786	160	6	of	of	ADP
cana-786	160	7	the	the	DET
cana-786	160	8	architecture	architecture	NOUN
cana-786	160	9	further	far	ADV
cana-786	160	10	contribute	contribute	VERB
cana-786	160	11	to	to	ADP
cana-786	160	12	its	its	PRON
cana-786	160	13	adaptability	adaptability	NOUN
cana-786	160	14	to	to	ADP
cana-786	160	15	specific	specific	ADJ
cana-786	160	16	domains	domain	NOUN
cana-786	160	17	,	,	PUNCT
cana-786	160	18	offering	offer	VERB
cana-786	160	19	a	a	DET
cana-786	160	20	flexible	flexible	ADJ
cana-786	160	21	and	and	CCONJ
cana-786	160	22	domain	domain	NOUN
cana-786	160	23	-	-	PUNCT
cana-786	160	24	aware	aware	ADJ
cana-786	160	25	language	language	NOUN
cana-786	160	26	modelling	modelling	NOUN
cana-786	160	27	[	[	X
cana-786	160	28	1	1	NUM
cana-786	160	29	]	]	PUNCT
cana-786	160	30	solution	solution	NOUN
cana-786	160	31	.	.	PUNCT
cana-786	161	1	this	this	DET
cana-786	161	2	project	project	NOUN
cana-786	161	3	not	not	PART
cana-786	161	4	only	only	ADV
cana-786	161	5	contributes	contribute	VERB
cana-786	161	6	a	a	DET
cana-786	161	7	novel	novel	ADJ
cana-786	161	8	architecture	architecture	NOUN
cana-786	161	9	to	to	ADP
cana-786	161	10	the	the	DET
cana-786	161	11	landscape	landscape	NOUN
cana-786	161	12	of	of	ADP
cana-786	161	13	llms	llm	NOUN
cana-786	161	14	[	[	X
cana-786	161	15	11,12	11,12	NUM
cana-786	161	16	]	]	PUNCT
cana-786	161	17	but	but	CCONJ
cana-786	161	18	also	also	ADV
cana-786	161	19	prompts	prompt	VERB
cana-786	161	20	further	further	ADJ
cana-786	161	21	inquiry	inquiry	NOUN
cana-786	161	22	into	into	ADP
cana-786	161	23	the	the	DET
cana-786	161	24	interplay	interplay	NOUN
cana-786	161	25	between	between	ADP
cana-786	161	26	model	model	NOUN
cana-786	161	27	design	design	NOUN
cana-786	161	28	,	,	PUNCT
cana-786	161	29	parameter	parameter	NOUN
cana-786	161	30	size	size	NOUN
cana-786	161	31	,	,	PUNCT
cana-786	161	32	and	and	CCONJ
cana-786	161	33	task	task	NOUN
cana-786	161	34	-	-	PUNCT
cana-786	161	35	specific	specific	ADJ
cana-786	161	36	finetuning	finetuning	NOUN
cana-786	161	37	.	.	PUNCT
cana-786	162	1	as	as	SCONJ
cana-786	162	2	the	the	DET
cana-786	162	3	field	field	NOUN
cana-786	162	4	of	of	ADP
cana-786	162	5	nlp	nlp	NOUN
cana-786	162	6	continues	continue	VERB
cana-786	162	7	[	[	X
cana-786	162	8	14	14	NUM
cana-786	162	9	]	]	PUNCT
cana-786	162	10	to	to	PART
cana-786	162	11	advance	advance	NOUN
cana-786	162	12	,	,	PUNCT
cana-786	162	13	swiftedlm	swiftedlm	PROPN
cana-786	162	14	stands	stand	VERB
cana-786	162	15	as	as	ADP
cana-786	162	16	a	a	DET
cana-786	162	17	testament	testament	NOUN
cana-786	162	18	to	to	ADP
cana-786	162	19	the	the	DET
cana-786	162	20	potential	potential	NOUN
cana-786	162	21	for	for	ADP
cana-786	162	22	innovation	innovation	NOUN
cana-786	162	23	in	in	ADP
cana-786	162	24	addressing	address	VERB
cana-786	162	25	the	the	DET
cana-786	162	26	delicate	delicate	ADJ
cana-786	162	27	balance	balance	NOUN
cana-786	162	28	between	between	ADP
cana-786	162	29	computational	computational	ADJ
cana-786	162	30	efficiency	efficiency	NOUN
cana-786	162	31	and	and	CCONJ
cana-786	162	32	linguistic	linguistic	ADJ
cana-786	162	33	proficiency	proficiency	NOUN
cana-786	162	34	.	.	PUNCT
cana-786	163	1	communications	communication	NOUN
cana-786	163	2	on	on	ADP
cana-786	163	3	applied	apply	VERB
cana-786	163	4	nonlinear	nonlinear	ADJ
cana-786	163	5	analysis	analysis	NOUN
cana-786	163	6	issn	issn	NOUN
cana-786	163	7	:	:	PUNCT
cana-786	163	8	1074	1074	NUM
cana-786	163	9	-	-	PUNCT
cana-786	163	10	133x	133x	NUM
cana-786	163	11	vol	vol	NOUN
cana-786	163	12	31	31	NUM
cana-786	163	13	no	no	NOUN
cana-786	163	14	.	.	PUNCT
cana-786	164	1	3s	3s	NUM
cana-786	164	2	(	(	PUNCT
cana-786	164	3	2024	2024	NUM
cana-786	164	4	)	)	PUNCT
cana-786	164	5	365	365	NUM
cana-786	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-786	164	7	in	in	ADP
cana-786	164	8	future	future	ADJ
cana-786	164	9	work	work	NOUN
cana-786	164	10	,	,	PUNCT
cana-786	164	11	it	it	PRON
cana-786	164	12	would	would	AUX
cana-786	164	13	be	be	AUX
cana-786	164	14	pertinent	pertinent	ADJ
cana-786	164	15	to	to	PART
cana-786	164	16	explore	explore	VERB
cana-786	164	17	additional	additional	ADJ
cana-786	164	18	optimizations	optimization	NOUN
cana-786	164	19	,	,	PUNCT
cana-786	164	20	investigate	investigate	VERB
cana-786	164	21	the	the	DET
cana-786	164	22	transferability	transferability	NOUN
cana-786	164	23	of	of	ADP
cana-786	164	24	fine	fine	ADV
cana-786	164	25	-	-	PUNCT
cana-786	164	26	tuned	tune	VERB
cana-786	164	27	models	model	NOUN
cana-786	164	28	across	across	ADP
cana-786	164	29	different	different	ADJ
cana-786	164	30	domains	domain	NOUN
cana-786	164	31	,	,	PUNCT
cana-786	164	32	and	and	CCONJ
cana-786	164	33	assess	assess	VERB
cana-786	164	34	the	the	DET
cana-786	164	35	robustness	robustness	NOUN
cana-786	164	36	of	of	ADP
cana-786	164	37	swiftedlm	swiftedlm	NOUN
cana-786	164	38	in	in	ADP
cana-786	164	39	scenarios	scenario	NOUN
cana-786	164	40	with	with	ADP
cana-786	164	41	limited	limited	ADJ
cana-786	164	42	computational	computational	ADJ
cana-786	164	43	resources	resource	NOUN
cana-786	164	44	.	.	PUNCT
cana-786	165	1	through	through	ADP
cana-786	165	2	continued	continue	VERB
cana-786	165	3	research	research	NOUN
cana-786	165	4	and	and	CCONJ
cana-786	165	5	refinement	refinement	NOUN
cana-786	165	6	,	,	PUNCT
cana-786	165	7	swiftedlm	swiftedlm	PROPN
cana-786	165	8	holds	hold	VERB
cana-786	165	9	the	the	DET
cana-786	165	10	promise	promise	NOUN
cana-786	165	11	of	of	ADP
cana-786	165	12	contributing	contribute	VERB
cana-786	165	13	substantially	substantially	ADV
cana-786	165	14	to	to	ADP
cana-786	165	15	the	the	DET
cana-786	165	16	broader	broad	ADJ
cana-786	165	17	goal	goal	NOUN
cana-786	165	18	of	of	ADP
cana-786	165	19	advancing	advance	VERB
cana-786	165	20	language	language	NOUN
cana-786	165	21	models	model	NOUN
cana-786	165	22	that	that	PRON
cana-786	165	23	are	be	AUX
cana-786	165	24	not	not	PART
cana-786	165	25	only	only	ADV
cana-786	165	26	efficient	efficient	ADJ
cana-786	165	27	but	but	CCONJ
cana-786	165	28	also	also	ADV
cana-786	165	29	highly	highly	ADV
cana-786	165	30	effective	effective	ADJ
cana-786	165	31	in	in	ADP
cana-786	165	32	real	real	ADJ
cana-786	165	33	-	-	PUNCT
cana-786	165	34	world	world	NOUN
cana-786	165	35	applications	application	NOUN
cana-786	165	36	.	.	PUNCT
cana-786	166	1	references	reference	NOUN
cana-786	166	2	[	[	X
cana-786	166	3	1	1	NUM
cana-786	166	4	]	]	X
cana-786	166	5	gao	gao	PROPN
cana-786	166	6	,	,	PUNCT
cana-786	166	7	l.	l.	PROPN
cana-786	166	8	,	,	PUNCT
cana-786	166	9	biderman	biderman	PROPN
cana-786	166	10	,	,	PUNCT
cana-786	166	11	s.	s.	PROPN
cana-786	166	12	,	,	PUNCT
cana-786	166	13	black	black	PROPN
cana-786	166	14	,	,	PUNCT
cana-786	166	15	s.	s.	PROPN
cana-786	166	16	,	,	PUNCT
cana-786	166	17	golding	golding	PROPN
cana-786	166	18	,	,	PUNCT
cana-786	166	19	l.	l.	PROPN
cana-786	166	20	,	,	PUNCT
cana-786	166	21	hoppe	hoppe	PROPN
cana-786	166	22	,	,	PUNCT
cana-786	166	23	t.	t.	PROPN
cana-786	166	24	,	,	PUNCT
cana-786	166	25	foster	foster	NOUN
cana-786	166	26	,	,	PUNCT
cana-786	166	27	c.	c.	PROPN
cana-786	166	28	,	,	PUNCT
cana-786	166	29	phang	phang	PROPN
cana-786	166	30	,	,	PUNCT
cana-786	166	31	j.	j.	PROPN
cana-786	166	32	,	,	PUNCT
cana-786	166	33	he	he	PRON
cana-786	166	34	,	,	PUNCT
cana-786	166	35	h.	h.	PROPN
cana-786	166	36	,	,	PUNCT
cana-786	166	37	thite	thite	ADJ
cana-786	166	38	,	,	PUNCT
cana-786	166	39	a.	a.	NOUN
cana-786	166	40	,	,	PUNCT
cana-786	166	41	nabeshima	nabeshima	PROPN
cana-786	166	42	,	,	PUNCT
cana-786	166	43	n.	n.	NOUN
cana-786	166	44	and	and	CCONJ
cana-786	166	45	presser	presser	NOUN
cana-786	166	46	,	,	PUNCT
cana-786	166	47	s.	s.	PROPN
cana-786	166	48	,	,	PUNCT
cana-786	166	49	2020	2020	NUM
cana-786	166	50	.	.	PUNCT
cana-786	167	1	the	the	DET
cana-786	167	2	pile	pile	NOUN
cana-786	167	3	:	:	PUNCT
cana-786	167	4	an	an	DET
cana-786	167	5	800	800	NUM
cana-786	167	6	gb	gb	NOUN
cana-786	167	7	dataset	dataset	NOUN
cana-786	167	8	of	of	ADP
cana-786	167	9	diverse	diverse	ADJ
cana-786	167	10	text	text	NOUN
cana-786	167	11	for	for	ADP
cana-786	167	12	language	language	NOUN
cana-786	167	13	modeling	modeling	NOUN
cana-786	167	14	.	.	PUNCT
cana-786	168	1	arxiv	arxiv	PROPN
cana-786	168	2	preprint	preprint	VERB
cana-786	168	3	arxiv:2101.00027	arxiv:2101.00027	ADV
cana-786	168	4	.	.	PUNCT
cana-786	169	1	[	[	X
cana-786	169	2	2	2	NUM
cana-786	169	3	]	]	X
cana-786	169	4	penedo	penedo	ADJ
cana-786	169	5	,	,	PUNCT
cana-786	169	6	g.	g.	PROPN
cana-786	169	7	,	,	PUNCT
cana-786	169	8	malartic	malartic	PROPN
cana-786	169	9	,	,	PUNCT
cana-786	169	10	q.	q.	PROPN
cana-786	169	11	,	,	PUNCT
cana-786	169	12	hesslow	hesslow	PROPN
cana-786	169	13	,	,	PUNCT
cana-786	169	14	d.	d.	PROPN
cana-786	169	15	,	,	PUNCT
cana-786	169	16	cojocaru	cojocaru	PROPN
cana-786	169	17	,	,	PUNCT
cana-786	169	18	r.	r.	PROPN
cana-786	169	19	,	,	PUNCT
cana-786	169	20	cappelli	cappelli	PROPN
cana-786	169	21	,	,	PUNCT
cana-786	169	22	a.	a.	PROPN
cana-786	169	23	,	,	PUNCT
cana-786	169	24	alobeidli	alobeidli	PROPN
cana-786	169	25	,	,	PUNCT
cana-786	169	26	h.	h.	NOUN
cana-786	169	27	,	,	PUNCT
cana-786	169	28	pannier	pannier	NOUN
cana-786	169	29	,	,	PUNCT
cana-786	169	30	b.	b.	PROPN
cana-786	169	31	,	,	PUNCT
cana-786	169	32	almazrouei	almazrouei	PROPN
cana-786	169	33	,	,	PUNCT
cana-786	169	34	e.	e.	PROPN
cana-786	169	35	and	and	CCONJ
cana-786	169	36	launay	launay	PROPN
cana-786	169	37	,	,	PUNCT
cana-786	169	38	j.	j.	PROPN
cana-786	169	39	,	,	PUNCT
cana-786	169	40	2023	2023	NUM
cana-786	169	41	.	.	PUNCT
cana-786	170	1	the	the	DET
cana-786	170	2	refinedweb	refinedweb	PROPN
cana-786	170	3	dataset	dataset	VERB
cana-786	170	4	for	for	ADP
cana-786	170	5	falcon	falcon	PROPN
cana-786	170	6	llm	llm	PROPN
cana-786	170	7	:	:	PUNCT
cana-786	170	8	outperforming	outperforming	NOUN
cana-786	170	9	curated	curate	VERB
cana-786	170	10	corpora	corpora	PROPN
cana-786	170	11	with	with	ADP
cana-786	170	12	web	web	NOUN
cana-786	170	13	data	datum	NOUN
cana-786	170	14	,	,	PUNCT
cana-786	170	15	and	and	CCONJ
cana-786	170	16	web	web	NOUN
cana-786	170	17	data	datum	NOUN
cana-786	170	18	only	only	ADV
cana-786	170	19	.	.	PUNCT
cana-786	171	1	arxiv	arxiv	PROPN
cana-786	171	2	preprint	preprint	NOUN
cana-786	171	3	arxiv:2306.01116	arxiv:2306.01116	NOUN
cana-786	171	4	.	.	PUNCT
cana-786	172	1	[	[	X
cana-786	172	2	3	3	NUM
cana-786	172	3	]	]	X
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cana-786	175	39	.	.	PUNCT
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cana-786	178	9	.	.	PUNCT
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cana-786	180	21	.	.	PUNCT
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cana-786	182	29	.	.	PUNCT
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cana-786	184	5	)	)	PUNCT
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cana-786	188	50	.	.	PUNCT
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cana-786	192	3	:	:	PUNCT
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cana-786	195	6	adaptation	adaptation	NOUN
cana-786	195	7	of	of	ADP
cana-786	195	8	large	large	ADJ
cana-786	195	9	language	language	NOUN
cana-786	195	10	models	model	NOUN
cana-786	195	11	.	.	PUNCT
cana-786	196	1	arxiv	arxiv	PROPN
cana-786	196	2	preprint	preprint	PROPN
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cana-786	196	4	.	.	PUNCT
cana-786	197	1	[	[	X
cana-786	197	2	12	12	NUM
cana-786	197	3	]	]	X
cana-786	197	4	dao	dao	NOUN
cana-786	197	5	,	,	PUNCT
cana-786	197	6	t.	t.	PROPN
cana-786	197	7	,	,	PUNCT
cana-786	197	8	fu	fu	PROPN
cana-786	197	9	,	,	PUNCT
cana-786	197	10	d.	d.	PROPN
cana-786	197	11	,	,	PUNCT
cana-786	197	12	ermon	ermon	PROPN
cana-786	197	13	,	,	PUNCT
cana-786	197	14	s.	s.	PROPN
cana-786	197	15	,	,	PUNCT
cana-786	197	16	rudra	rudra	PROPN
cana-786	197	17	,	,	PUNCT
cana-786	197	18	a.	a.	NOUN
cana-786	197	19	and	and	CCONJ
cana-786	197	20	ré	ré	PROPN
cana-786	197	21	,	,	PUNCT
cana-786	197	22	c.	c.	NOUN
cana-786	197	23	,	,	PUNCT
cana-786	197	24	2022	2022	NUM
cana-786	197	25	.	.	PUNCT
cana-786	198	1	flashattention	flashattention	NOUN
cana-786	198	2	:	:	PUNCT
cana-786	198	3	fast	fast	ADJ
cana-786	198	4	and	and	CCONJ
cana-786	198	5	memory	memory	NOUN
cana-786	198	6	-	-	PUNCT
cana-786	198	7	efficient	efficient	ADJ
cana-786	198	8	exact	exact	ADJ
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cana-786	198	10	with	with	ADP
cana-786	198	11	io	io	NOUN
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cana-786	198	13	awareness	awareness	NOUN
cana-786	198	14	.	.	PUNCT
cana-786	199	1	advances	advance	NOUN
cana-786	199	2	in	in	ADP
cana-786	199	3	neural	neural	ADJ
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cana-786	199	5	processing	processing	NOUN
cana-786	199	6	systems	system	NOUN
cana-786	199	7	,	,	PUNCT
cana-786	199	8	35	35	NUM
cana-786	199	9	,	,	PUNCT
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cana-786	199	11	-	-	PUNCT
cana-786	199	12	16359	16359	NUM
cana-786	199	13	.	.	PUNCT
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cana-786	200	2	13	13	NUM
cana-786	200	3	]	]	PUNCT
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cana-786	200	7	,	,	PUNCT
cana-786	200	8	vinyals	vinyal	NOUN
cana-786	200	9	,	,	PUNCT
cana-786	200	10	o.	o.	NOUN
cana-786	200	11	and	and	CCONJ
cana-786	200	12	le	le	PROPN
cana-786	200	13	,	,	PUNCT
cana-786	200	14	q.v	q.v	PROPN
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cana-786	200	18	.	.	PUNCT
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cana-786	201	2	to	to	ADP
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cana-786	201	5	with	with	ADP
cana-786	201	6	neural	neural	ADJ
cana-786	201	7	networks	network	NOUN
cana-786	201	8	.	.	PUNCT
cana-786	202	1	advances	advance	NOUN
cana-786	202	2	in	in	ADP
cana-786	202	3	neural	neural	ADJ
cana-786	202	4	information	information	NOUN
cana-786	202	5	processing	processing	NOUN
cana-786	202	6	systems	system	NOUN
cana-786	202	7	,	,	PUNCT
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cana-786	202	9	.	.	PUNCT
cana-786	203	1	[	[	X
cana-786	203	2	14	14	NUM
cana-786	203	3	]	]	PUNCT
cana-786	203	4	zellers	zeller	NOUN
cana-786	203	5	,	,	PUNCT
cana-786	203	6	r.	r.	PROPN
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cana-786	203	8	holtzman	holtzman	NOUN
cana-786	203	9	,	,	PUNCT
cana-786	203	10	a.	a.	NOUN
cana-786	203	11	,	,	PUNCT
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cana-786	203	13	,	,	PUNCT
cana-786	203	14	y.	y.	NOUN
cana-786	203	15	,	,	PUNCT
cana-786	203	16	farhadi	farhadi	NOUN
cana-786	203	17	,	,	PUNCT
cana-786	203	18	a.	a.	NOUN
cana-786	203	19	and	and	CCONJ
cana-786	203	20	choi	choi	NOUN
cana-786	203	21	,	,	PUNCT
cana-786	203	22	y.	y.	NOUN
cana-786	203	23	,	,	PUNCT
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cana-786	203	25	.	.	PUNCT
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cana-786	204	2	:	:	PUNCT
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cana-786	204	7	finish	finish	VERB
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cana-786	204	10	?	?	PUNCT
cana-786	204	11	.	.	PUNCT
cana-786	205	1	arxiv	arxiv	PROPN
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cana-786	206	1	[	[	X
cana-786	206	2	15	15	NUM
cana-786	206	3	]	]	X
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cana-786	206	5	,	,	PUNCT
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cana-786	206	7	,	,	PUNCT
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cana-786	206	16	pham	pham	PROPN
cana-786	206	17	,	,	PUNCT
cana-786	206	18	q.n	q.n	PROPN
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cana-786	206	20	,	,	PUNCT
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cana-786	206	22	,	,	PUNCT
cana-786	206	23	r.	r.	PROPN
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cana-786	206	34	,	,	PUNCT
cana-786	206	35	g.	g.	PROPN
cana-786	206	36	and	and	CCONJ
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cana-786	206	38	,	,	PUNCT
cana-786	206	39	r.	r.	PROPN
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cana-786	206	42	.	.	PUNCT
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cana-786	207	2	lambada	lambada	PROPN
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cana-786	207	4	:	:	PUNCT
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cana-786	208	1	arxiv	arxiv	PROPN
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cana-786	209	1	[	[	X
cana-786	209	2	16	16	NUM
cana-786	209	3	]	]	X
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cana-786	209	9	,	,	PUNCT
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cana-786	209	13	,	,	PUNCT
cana-786	209	14	h.	h.	PROPN
cana-786	209	15	and	and	CCONJ
cana-786	209	16	huang	huang	PROPN
cana-786	209	17	,	,	PUNCT
cana-786	209	18	x.	x.	PROPN
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cana-786	209	21	.	.	PUNCT
cana-786	210	1	an	an	DET
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cana-786	210	8	on	on	ADP
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cana-786	210	10	webquestions	webquestion	NOUN
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cana-786	210	12	.	.	PUNCT
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cana-786	211	2	-	-	SYM
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cana-786	211	4	-	-	SYM
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cana-786	211	6	]	]	PUNCT
cana-786	211	7	.	.	PUNCT
cana-786	212	1	https://www	https://www	PROPN
cana-786	212	2	.	.	PUNCT
cana-786	213	1	microsoft	microsoft	PROPN
cana-786	213	2	.	.	PUNCT
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cana-786	213	12	/	/	SYM
cana-786	213	13	an	an	DET
cana-786	213	14	-	-	PUNCT
cana-786	213	15	overview	overview	NOUN
cana-786	213	16	-	-	PUNCT
cana-786	213	17	ofmicrosoft	ofmicrosoft	NUM
cana-786	213	18	-	-	PUNCT
cana-786	213	19	deep	deep	ADJ
cana-786	213	20	-	-	PUNCT
cana-786	213	21	qa	qa	NOUN
cana-786	213	22	-	-	PUNCT
cana-786	213	23	system	system	NOUN
cana-786	213	24	-	-	PUNCT
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cana-786	213	26	-	-	PUNCT
cana-786	213	27	stanford	stanford	NOUN
cana-786	213	28	-	-	PUNCT
cana-786	213	29	webquestionsbenchmark	webquestionsbenchmark	NOUN
cana-786	213	30	.	.	PUNCT
cana-786	214	1	[	[	X
cana-786	214	2	17	17	NUM
cana-786	214	3	]	]	X
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cana-786	214	5	,	,	PUNCT
cana-786	214	6	k.	k.	PROPN
cana-786	214	7	,	,	PUNCT
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cana-786	214	10	r.l	r.l	PROPN
cana-786	214	11	.	.	PROPN
cana-786	214	12	,	,	PUNCT
cana-786	214	13	bhagavatula	bhagavatula	PROPN
cana-786	214	14	,	,	PUNCT
cana-786	214	15	c.	c.	PROPN
cana-786	214	16	and	and	CCONJ
cana-786	214	17	choi	choi	NOUN
cana-786	214	18	,	,	PUNCT
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cana-786	214	20	,	,	PUNCT
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cana-786	214	22	.	.	PUNCT
cana-786	215	1	winogrande	winogrande	PROPN
cana-786	215	2	:	:	PUNCT
cana-786	215	3	an	an	DET
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cana-786	215	5	winograd	winograd	ADJ
cana-786	215	6	schema	schema	NOUN
cana-786	215	7	challenge	challenge	NOUN
cana-786	215	8	at	at	ADP
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cana-786	216	7	)	)	PUNCT
cana-786	216	8	,	,	PUNCT
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cana-786	216	10	-	-	PUNCT
cana-786	216	11	106	106	NUM
cana-786	216	12	.	.	PUNCT
cana-786	217	1	[	[	X
cana-786	217	2	18	18	NUM
cana-786	217	3	]	]	PUNCT
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cana-786	217	5	,	,	PUNCT
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cana-786	217	17	,	,	PUNCT
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cana-786	217	23	,	,	PUNCT
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cana-786	217	33	.	.	PUNCT
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cana-786	218	2	massive	massive	ADJ
cana-786	218	3	multitask	multitask	ADJ
cana-786	218	4	language	language	NOUN
cana-786	218	5	understanding	understanding	NOUN
cana-786	218	6	.	.	PUNCT
cana-786	219	1	arxiv	arxiv	PROPN
cana-786	219	2	preprint	preprint	PROPN
cana-786	219	3	arxiv:2009.03300	arxiv:2009.03300	PROPN
cana-786	219	4	.	.	PUNCT
cana-786	220	1	communications	communication	NOUN
cana-786	220	2	on	on	ADP
cana-786	220	3	applied	apply	VERB
cana-786	220	4	nonlinear	nonlinear	ADJ
cana-786	220	5	analysis	analysis	NOUN
cana-786	220	6	issn	issn	NOUN
cana-786	220	7	:	:	PUNCT
cana-786	220	8	1074	1074	NUM
cana-786	220	9	-	-	PUNCT
cana-786	220	10	133x	133x	NUM
cana-786	220	11	vol	vol	NOUN
cana-786	220	12	31	31	NUM
cana-786	220	13	no	no	NOUN
cana-786	220	14	.	.	PUNCT
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cana-786	221	2	(	(	PUNCT
cana-786	221	3	2024	2024	NUM
cana-786	221	4	)	)	PUNCT
cana-786	221	5	366	366	NUM
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cana-786	222	1	[	[	X
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cana-786	222	3	]	]	X
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cana-786	222	13	,	,	PUNCT
cana-786	222	14	h.	h.	PROPN
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cana-786	222	17	,	,	PUNCT
cana-786	222	18	q.	q.	PROPN
cana-786	222	19	,	,	PUNCT
cana-786	222	20	pinto	pinto	NOUN
cana-786	222	21	,	,	PUNCT
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cana-786	222	24	,	,	PUNCT
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cana-786	222	30	,	,	PUNCT
cana-786	222	31	h.	h.	PROPN
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cana-786	222	45	ray	ray	PROPN
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cana-786	222	50	.	.	PUNCT
cana-786	223	1	evaluating	evaluate	VERB
cana-786	223	2	large	large	ADJ
cana-786	223	3	language	language	NOUN
cana-786	223	4	models	model	NOUN
cana-786	223	5	trained	train	VERB
cana-786	223	6	on	on	ADP
cana-786	223	7	code	code	NOUN
cana-786	223	8	.	.	PUNCT
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cana-786	224	2	preprint	preprint	NOUN
cana-786	224	3	arxiv:2107.03374	arxiv:2107.03374	NOUN
cana-786	224	4	.	.	PUNCT
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cana-786	225	2	20	20	NUM
cana-786	225	3	]	]	X
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cana-786	225	5	,	,	PUNCT
cana-786	225	6	h.	h.	PROPN
cana-786	225	7	,	,	PUNCT
cana-786	225	8	tam	tam	PROPN
cana-786	225	9	,	,	PUNCT
cana-786	225	10	d.	d.	PROPN
cana-786	225	11	,	,	PUNCT
cana-786	225	12	muqeeth	muqeeth	PROPN
cana-786	225	13	,	,	PUNCT
cana-786	225	14	m.	m.	NOUN
cana-786	225	15	,	,	PUNCT
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cana-786	225	32	,	,	PUNCT
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cana-786	225	34	.	.	PUNCT
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cana-786	226	2	-	-	PUNCT
cana-786	226	3	shot	shot	NOUN
cana-786	226	4	parameterefficient	parameterefficient	NOUN
cana-786	226	5	fine	fine	ADV
cana-786	226	6	-	-	PUNCT
cana-786	226	7	tuning	tuning	NOUN
cana-786	226	8	is	be	AUX
cana-786	226	9	better	well	ADJ
cana-786	226	10	and	and	CCONJ
cana-786	226	11	cheaper	cheap	ADJ
cana-786	226	12	than	than	ADP
cana-786	226	13	in	in	ADP
cana-786	226	14	-	-	PUNCT
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cana-786	227	6	systems	system	NOUN
cana-786	227	7	,	,	PUNCT
cana-786	227	8	35	35	NUM
cana-786	227	9	,	,	PUNCT
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cana-786	227	11	-	-	NOUN
cana-786	227	12	1965	1965	NUM
cana-786	227	13	.	.	PUNCT
cana-786	228	1	[	[	X
cana-786	228	2	21	21	NUM
cana-786	228	3	]	]	X
cana-786	228	4	loshchilov	loshchilov	PROPN
cana-786	228	5	,	,	PUNCT
cana-786	228	6	i.	i.	NOUN
cana-786	228	7	and	and	CCONJ
cana-786	228	8	hutter	hutter	PROPN
cana-786	228	9	,	,	PUNCT
cana-786	228	10	f.	f.	PROPN
cana-786	228	11	,	,	PUNCT
cana-786	228	12	2017	2017	NUM
cana-786	228	13	.	.	PUNCT
cana-786	229	1	decoupled	decouple	VERB
cana-786	229	2	weight	weight	NOUN
cana-786	229	3	decay	decay	NOUN
cana-786	229	4	regularization	regularization	NOUN
cana-786	229	5	.	.	PUNCT
cana-786	230	1	arxiv	arxiv	PROPN
cana-786	230	2	preprint	preprint	PROPN
cana-786	230	3	arxiv:1711.05101	arxiv:1711.05101	PROPN
cana-786	230	4	.	.	PUNCT
cana-786	231	1	[	[	X
cana-786	231	2	22	22	NUM
cana-786	231	3	]	]	X
cana-786	231	4	zhang	zhang	PROPN
cana-786	231	5	,	,	PUNCT
cana-786	231	6	h.	h.	PROPN
cana-786	231	7	,	,	PUNCT
cana-786	231	8	goodfellow	goodfellow	PROPN
cana-786	231	9	,	,	PUNCT
cana-786	231	10	i.	i.	PROPN
cana-786	231	11	,	,	PUNCT
cana-786	231	12	metaxas	metaxas	PROPN
cana-786	231	13	,	,	PUNCT
cana-786	231	14	d.	d.	PROPN
cana-786	231	15	and	and	CCONJ
cana-786	231	16	odena	odena	PROPN
cana-786	231	17	,	,	PUNCT
cana-786	231	18	a.	a.	NOUN
cana-786	231	19	,	,	PUNCT
cana-786	231	20	2019	2019	NUM
cana-786	231	21	,	,	PUNCT
cana-786	231	22	may	may	AUX
cana-786	231	23	.	.	PUNCT
cana-786	232	1	self	self	NOUN
cana-786	232	2	-	-	PUNCT
cana-786	232	3	attention	attention	NOUN
cana-786	232	4	generative	generative	ADJ
cana-786	232	5	adversarial	adversarial	ADJ
cana-786	232	6	networks	network	NOUN
cana-786	232	7	.	.	PUNCT
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cana-786	233	2	international	international	ADJ
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cana-786	233	4	on	on	ADP
cana-786	233	5	machine	machine	NOUN
cana-786	233	6	learning	learning	NOUN
cana-786	233	7	(	(	PUNCT
cana-786	233	8	pp	pp	ADJ
cana-786	233	9	.	.	PUNCT
cana-786	234	1	7354	7354	NUM
cana-786	234	2	-	-	SYM
cana-786	234	3	7363	7363	NUM
cana-786	234	4	)	)	PUNCT
cana-786	234	5	.	.	PUNCT
cana-786	235	1	pmlr	pmlr	NOUN
cana-786	235	2	.	.	PUNCT