id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-778	Editya, Arda Surya; Ahmad, Tohari; Studiawan, Hudan	Visual Instruction Tuning for Drone Accident Forensics	2024	15	.pdf	application/pdf	9715	567	50	Overall, the experiment highlights LLaVAFor’s superior capability in drone forensic analysis, closely matching the ground truth and demonstrating the most accurate interpretation of drone accidents among the models tested. One key limitation is the diversity of drone models and configurations, which makes it difficult to create a one- size-fits-all forensic approach.	cache/hij-778.pdf	txt/hij-778.txt