FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging
Authors:
- Haihong EHEHaihong E
Open Access
- 1 January 2025
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 15721-15749
Abstract
Zichen Tang, Haihong E, Ziyan Ma, Haoyang He, Jiacheng Liu, Zhongjun Yang, Zihua Rong, Rongjin Li, Kun Ji, Qing Huang, Xinyang Hu, Yang Liu, Qianhe Zheng. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.Keywords
All Related Versions
This publication has 9 references indexed in Scilit:
- Toward large reasoning models: A survey of reinforced reasoning with large language modelsPatterns, 2025
- Search-o1: Agentic Search-Enhanced Large Reasoning Models2025
- FinanceMATH: Knowledge-Intensive Math Reasoning in Finance Domains2024
- BizBench: A Quantitative Reasoning Benchmark for Business and Finance2024
- CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs’ Mathematical Reasoning Capabilities2024
- Metacognitive Prompting Improves Understanding in Large Language Models2024
- Mathematical discoveries from program search with large language modelsNature, 2023
- Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators2023
- TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance2021