External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving

Chenyang An, Zhibo Chen 0009, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang 0001, Sorin Lerner, Jingbo Shang. Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. In Lun-Wei Ku, Andre Martins, Vivek Srikumar, editors, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024. pages 776-790, Association for Computational Linguistics, 2024. [doi]

Abstract

Abstract is missing.

runs on