id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-24872	Zhou, Ren	Empirical Study and Mitigation Methods of Bias in LLM-Based Robots	2024	8	.pdf	application/pdf	5013	368	43	Tu et al. (2023) reviewed various bias detection methods, noting that these methods effectively identify and quantify model bias but also have limitations. Vaidya et al. (2020) proposed several improvement methods for bias detection in sentiment analysis tasks to more accurately identify model bias.	cache/ajst-24872.pdf	txt/ajst-24872.txt