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20232026
most citedAre Large Language Models Good at Utility Judgments?

2 citations · 2 across the 11 of their papers we have counts for

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cs.IR2024

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs

Hengran Zhang, Keping Bi, Jiafeng Guo +1

Relevance and utility are two frequently used measures to evaluate the effectiveness of an information retrieval (IR) system. Relevance emphasizes the aboutness of a result to a qu…

cs.IR2024★ 2 cited

Are Large Language Models Good at Utility Judgments?

Hengran Zhang, Ruqing Zhang, Jiafeng Guo +3

Retrieval-augmented generation (RAG) is considered to be a promising approach to alleviate the hallucination issue of large language models (LLMs), and it has received widespread a…