Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
Authors
- Suhang Wang (ORCID: https://orcid.org/0000-0003-3448-4878)
- Jing Huang (ORCID: https://orcid.org/0000-0001-8804-7150)
- Hui Liu (ORCID: https://orcid.org/0000-0003-4599-5702)
- Jingying Zeng (ORCID: https://orcid.org/0000-0002-0239-351X)
- Zhenwei Dai (ORCID: https://orcid.org/0000-0002-9238-9265)
- Pengfei He (ORCID: https://orcid.org/0000-0002-3762-906X)
- Jiliang Tang (ORCID: https://orcid.org/0000-0001-7125-3898)
- Xianfeng Tang (ORCID: https://orcid.org/0000-0003-1852-2328)
- Yue Xing (ORCID: https://orcid.org/0009-0001-2499-7461)
- Chen Luo (ORCID: https://orcid.org/0000-0003-4339-0355)
- Zhen Li (ORCID: https://orcid.org/0000-0002-5685-3163)
- Yan Han
- Yingqian Cui (ORCID: https://orcid.org/0009-0000-2377-7646)
- Qi He
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.findings-acl.956
- Citations
- 2
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- National Science Foundation
- U.S. Department of Commerce
- Bill and Melinda Gates Foundation
- Michigan Department of Agriculture and Rural Development