BizBench: A Quantitative Reasoning Benchmark for Business and Finance
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Michael Krumdick, Rik Koncel-Kedziorski, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
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In high-stakes domains such as business and finance, correctness outweighs other attributes.
“In some high-stakes domains such as business and finance, however, correctness outweighs other attributes (Bommasani et al., 2022;Feuer et al., 2025;Krumdick et al., 2024).”
From No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding (2025) · cites this paper as Krumdick et al., 2024
The Conclusion says numerical reasoning is critically important in business and finance because small errors can incur large costs. That supports the importance of correctness in these high-stakes domains, but the paper does not say correctness outweighs other attributes. (LLM, conf=0.84)
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Research works printed but not linked: 21
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- Authors
- Krumdick, M., Koncel-Kedziorski, R., Lai, V. D., Reddy, V., Lovering, C., & Tanner, C.
- ORCID
- Lai, Viet Dac
- Venue
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2024
- Pages
- 8309-8332
- ISSN
- 0736-587X (ISSN-L)
- OpenAlex
- W4402671590
- Cited by
- 13
- References
- 0
- Citations by year
- 2026: 6 · 2025: 6 · 2023: 1
- FWCI
- 3.54
- 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 › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Keywords
- quantitative reasoning, financial reasoning, benchmark, reasoning datasets, natural language question answering
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