Deceiving to Enlighten: Coaxing LLMs to Self-Reflection for Enhanced Bias Detection and Mitigation

[PDF] arxiv.org

A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

R Ranjan, S Gupta, SN Singh - arXiv preprint arXiv:2409.16430, 2024 - arxiv.org
Large Language Models (LLMs) have revolutionized various applications in natural
language processing (NLP) by providing unprecedented text generation, translation, and …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

AGR: Age Group fairness Reward for Bias Mitigation in LLMs

S Cao, R Cheng, Z Wang - arXiv preprint arXiv:2409.04340, 2024 - arxiv.org
LLMs can exhibit age biases, resulting in unequal treatment of individuals across age
groups. While much research has addressed racial and gender biases, age bias remains …
相关文章 所有 2 个版本