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20182026
most citedDoes RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

2 citations · 6 across the 17 of their papers we have counts for

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cs.IR2024

RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs

Haowei Liu, Xuyang Wu, Guohao Sun +2

In information retrieval, large language models (LLMs) have demonstrated remarkable potential in text reranking tasks by leveraging their sophisticated natural language understandi…

cs.IR2024

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers

Yuan Wang, Xuyang Wu, Hsin-Tai Wu +2

The integration of Large Language Models (LLMs) in information retrieval has raised a critical reevaluation of fairness in the text-ranking models. LLMs, such as GPT models and Lla…