EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning

28 May 2025

Papers citing "EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning"

7 / 7 papers shown

Title
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs Zhuoshi Pan Yu Li Honglin Lin Qizhi Pei Zinan Tang Wei Wu Chenlin Ming H. Vicky Zhao Zeang Sheng Lijun Wu LRM 88 3 0 21 Mar 2025
Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages Libo Qin Qiguang Chen Fuxuan Wei Shijue Huang Wanxiang Che LRM 57 82 0 23 Oct 2023
Baichuan 2: Open Large-scale Language Models Ai Ming Yang Bin Xiao Bingning Wang Borong Zhang Ce Bian ... Youxin Jiang Yuchen Gao Yupeng Zhang Guosheng Dong Zhiying Wu ELM LRM 84 731 0 19 Sep 2023
Making Large Language Models Better Reasoners with Alignment Peiyi Wang Lei Li Liang Chen Feifan Song Binghuai Lin Yunbo Cao Tianyu Liu Zhifang Sui ALM LRM 58 68 0 05 Sep 2023
The False Promise of Imitating Proprietary LLMs Arnav Gudibande Eric Wallace Charles Burton Snell Xinyang Geng Hao Liu Pieter Abbeel Sergey Levine Dawn Song ALM 77 202 0 25 May 2023
Large Language Models Are Reasoning Teachers Namgyu Ho Laura Schmid Se-Young Yun ReLM ELM LRM 62 334 0 20 Dec 2022
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 313 41,106 0 28 May 2020