A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
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Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
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REVEAL is a benchmark dataset that evaluates the correctness of reasoning chains generated by LLMs in the context of opendomain question-answering.
“REVEAL (Jacovi et al., 2024) is a benchmark dataset that evaluates the correctness of reasoning chains generated by LLMs in the context of opendomain question-answering.”
From MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (2024) · cites this paper as Jacovi et al., 2024
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- Authors
- Jacovi, A., Bitton, Y., Bohnet, B., Herzig, J., Honovich, O., Tseng, M., Collins, M., Aharoni, R., & Geva, M.
- Affiliations
- Google (United States) (US)
- Google DeepMind (United Kingdom) (GB)
- Venue
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2024
- Pages
- 4615-4634
- ISSN
- 0736-587X (ISSN-L)
- OpenAlex
- W4402671733
- Cited by
- 14
- References
- 0
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 2
- FWCI
- 4.13
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- reasoning chains, chain-of-thought, reasoning verification, large language models
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