AI RESEARCH
Bias in Large Language Models: Origin, Evaluation, and Mitigation
arXiv CS.LG
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ArXi:2411.10915v2 Announce Type: replace-cross Large Language Models (LLMs) have revolutionized natural language processing, but their susceptibility to biases poses significant challenges. This comprehensive review examines the landscape of bias in LLMs, from its origins to current mitigation strategies. We categorize biases as intrinsic and extrinsic, analyzing their manifestations in various NLP tasks.