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

v1v2v3 (latest)

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

14 November 2023

ArXiv (abs)PDF HTML

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

17 / 17 papers shown

Title
When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction Yuqing Yang Robin Jia KELM LRM 103 1 0 22 May 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 289 13 0 26 Feb 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? Yancheng He Shilong Li Jing Liu Weixun Wang Xingyuan Bu ... Zhongyuan Peng Zhenru Zhang Zhicheng Zheng Wenbo Su Bo Zheng ELM LRM 146 16 0 26 Feb 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning Yu Guang Wang Nan Yang Liang Wang Furu Wei LRM 125 4 0 10 Feb 2025
LLM-based Translation Inference with Iterative Bilingual Understanding Andong Chen Kehai Chen Yang Xiang Xuefeng Bai Muyun Yang Yang Feng Tiejun Zhao Min Zhang LRM 131 5 0 31 Dec 2024
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Di Zhang Jingdi Lei Junxian Li Xunzhi Wang Yong Liu ... Steve Yang Jianbo Wu Peng Ye Wanli Ouyang Dongzhan Zhou OffRL LRM 145 8 0 27 Nov 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought Zhuoxuan Jiang Haoyuan Peng Shanshan Feng Fan Li Dongsheng Li KELM LRM 77 16 0 09 May 2024
Evaluating Mathematical Reasoning Beyond Accuracy Shijie Xia Xuefeng Li Yixin Liu Tongshuang Wu Pengfei Liu LRM ReLM 126 29 0 08 Apr 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 140 26 0 19 Oct 2023
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning Ning Miao Yee Whye Teh Tom Rainforth ReLM LRM 62 135 0 01 Aug 2023
Large Language Models are Better Reasoners with Self-Verification Yixuan Weng Minjun Zhu Fei Xia Bin Li Shizhu He Shengping Liu Bin Sun Kang Liu Jun Zhao ReLM LRM 78 225 0 19 Dec 2022
Constitutional AI: Harmlessness from AI Feedback Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell John Kernion ... Dario Amodei Nicholas Joseph Sam McCandlish Tom B. Brown Jared Kaplan SyDa MoMe 214 1,646 0 15 Dec 2022
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 206 614 0 20 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 439 2,976 0 06 Oct 2022
CodeT: Code Generation with Generated Tests Bei Chen Fengji Zhang A. Nguyen Daoguang Zan Zeqi Lin Jian-Guang Lou Weizhu Chen 103 344 0 21 Jul 2022
Self-critiquing models for assisting human evaluators William Saunders Catherine Yeh Jeff Wu Steven Bills Ouyang Long Jonathan Ward Jan Leike ALM ELM 112 306 0 12 Jun 2022
Think about it! Improving defeasible reasoning by first modeling the question scenario Cencheng Shen Niket Tandon Ha Trinh Peter Clark Yiming Yang Eduard H. Hovy LRM ReLM 93 31 0 24 Oct 2021

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.