30 citations · 129 across the 11 of their papers we have counts for
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cs.IR2024★ 9 cited
A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
Shivani Upadhyay, Ronak Pradeep, Nandan Thakur +5
The application of large language models to provide relevance assessments presents exciting opportunities to advance information retrieval, natural language processing, and beyond,…
cs.IR2024★ 7 cited
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai +1
Test collections are information-retrieval tools that allow researchers to quickly and easily evaluate ranking algorithms. While test collections have become an integral part of IR…