Self-Consistency Boosts Calibration for Math Reasoning
Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu
- Anthology ID:
- 2024.findings-emnlp.349
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6023–6029
- Language:
- URL:
- https://aclanthology.org/2024.findings-emnlp.349
- DOI:
- 10.18653/v1/2024.findings-emnlp.349
- Cite (ACL):
- Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Lifeng Jin, Haitao Mi, Jinsong Su, and Dong Yu. 2024. Self-Consistency Boosts Calibration for Math Reasoning. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 6023–6029, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Self-Consistency Boosts Calibration for Math Reasoning (Wang et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.findings-emnlp.349.pdf