AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs
2026-06-22
·
via Paper Index on ACL Anthology
- Anthology ID:
- 2026.findings-acl.138
- Volume:
- Findings of the Association for Computational Linguistics: ACL 2026
- Month:
- July
- Year:
- 2026
- Address:
- San Diego, California, United States
- Editors:
- Maria Liakata,
Viviane P. Moreira,
Jiajun Zhang,
David Jurgens
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2871–2886
- Language:
- URL:
- https://aclanthology.org/2026.findings-acl.138/
- DOI:
- Bibkey:
- Cite (ACL):
- Sichun Luo, Yi Huang, Shichang Meng, Fengyuan Liu, Mukai Li, Qinghua Yao, Zefa Hu, Junlan Feng, and Qi Liu. 2026. AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs. In Findings of the Association for Computational Linguistics: ACL 2026, pages 2871–2886, San Diego, California, United States. Association for Computational Linguistics.
- Cite (Informal):
- AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs (Luo et al., Findings 2026)
- Copy Citation:
-
- PDF:
- https://aclanthology.org/2026.findings-acl.138.pdf
- Checklist:
-
2026.findings-acl.138.checklist.pdf
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