LLMs cannot find reasoning errors, but can correct them given the error
location

LLMs cannot find reasoning errors, but can correct them given the error location

14 November 2023

Papers citing "LLMs cannot find reasoning errors, but can correct them given the error location"

17 / 17 papers shown

Title
MINERVA: Evaluating Complex Video Reasoning Arsha Nagrani Sachit Menon Ahmet Iscen Shyamal Buch Ramin Mehran ... Yukun Zhu Carl Vondrick Mikhail Sirotenko Cordelia Schmid Tobias Weyand 56 0 0 01 May 2025
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation Songjun Tu Jiahao Lin Xiangyu Tian Qichao Zhang Linjing Li ... Nan Xu Wei He Xiangyuan Lan D. Jiang Dongbin Zhao LRM 44 2 0 17 Mar 2025
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic Jikai Chen 59 0 0 11 Mar 2025
BIG-Bench Extra Hard Mehran Kazemi Bahare Fatemi Hritik Bansal John Palowitch Chrysovalantis Anastasiou ... Kate Olszewska Yi Tay Vinh Q. Tran Quoc V. Le Orhan Firat ELM LRM 117 4 0 26 Feb 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? Yancheng He Shilong Li J. Liu Weixun Wang Xingyuan Bu ... Zhongyuan Peng Z. Zhang Zhicheng Zheng Wenbo Su Bo Zheng ELM LRM 79 6 0 26 Feb 2025
LLM-based Translation Inference with Iterative Bilingual Understanding Andong Chen Kehai Chen Yang Xiang Xuefeng Bai Muyun Yang Yang Feng T. Zhao Min Zhang LRM 82 5 0 31 Dec 2024
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Di Zhang Jingdi Lei Junxian Li Xunzhi Wang Y. Liu ... S. M. I. Simon X. Yang Jianbo Wu Peng Ye Wanli Ouyang Dongzhan Zhou OffRL LRM 105 6 0 27 Nov 2024
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation Jonathan Cook Tim Rocktaschel Jakob Foerster Dennis Aumiller Alex Wang ALM 29 9 0 04 Oct 2024
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues Kuanchao Chu Yi-Pei Chen Hideki Nakayama LLMAG 34 2 0 13 Jul 2024
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms Andong Chen Lianzhang Lou Kehai Chen Xuefeng Bai Yang Xiang Muyun Yang Tiejun Zhao Min Zhang VLM 35 12 0 11 Jun 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought Zhuoxuan Jiang Haoyuan Peng Shanshan Feng Fan Li Dongsheng Li LRM KELM 35 12 0 09 May 2024
Evaluating Mathematical Reasoning Beyond Accuracy Shijie Xia Xuefeng Li Yixin Liu Tongshuang Wu Pengfei Liu LRM ReLM 42 21 0 08 Apr 2024
Large Language Models Are Struggle to Cope with Unreasonability in Math Problems Jingyuan Ma Damai Dai Zihang Yuan Rui Li Weilin Luo Bin Wang Qun Liu Lei Sha Zhifang Sui LRM 75 4 0 28 Mar 2024
AutoMix: Automatically Mixing Language Models Pranjal Aggarwal Aman Madaan Ankit Anand Srividya Pranavi Potharaju Swaroop Mishra ... Karthik Kappaganthu Yiming Yang Shyam Upadhyay Manaal Faruqui Mausam 40 17 0 19 Oct 2023
Self-Evaluation Guided Beam Search for Reasoning Yuxi Xie Kenji Kawaguchi Yiran Zhao Xu Zhao MingSung Kan Junxian He Qizhe Xie LRM 164 128 0 01 May 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022