25 citations · 107 across the 30 of their papers we have counts for
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cs.CL2024★ 4 cited
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
Tao Zhang, Ziqian Zeng, Yuxiang Xiao +4
Large Language Models (LLMs) are prone to generating content that exhibits gender biases, raising significant ethical concerns. Alignment, the process of fine-tuning LLMs to better…
cs.CL2024★ 6 cited
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots
Philip Feldman, James R. Foulds, Shimei Pan
Large language models (LLMs) like ChatGPT demonstrate the remarkable progress of artificial intelligence. However, their tendency to hallucinate -- generate plausible but false inf…