id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-28408	Monteiro, Monique; Zanchettin, Cleber	Optimization Strategies for BERT-Based Named Entity Recognition	2023		.htm	text/html	4979	285	48	Language models are the most classic examples among these pre-trained models. Furthermore, qualitative analysis for the intermediary language model shows example outputs for predicting masked term tasks, i.e., the public accounts auditing language model can generate texts related to themes such as contracts and biddings, as seen in Table 6. 4.3 Causal Language Modeling - Few/zero-Shot Learning This subsection summarizes experiments conducted on GPT 3.5, a large language model pre-trained with a causal language modeling objective.	cache/bracis-28408.htm	txt/bracis-28408.txt