Learning From Mistakes Makes LLM Better Reasoner

Learning From Mistakes Makes LLM Better Reasoner

31 October 2023

Papers citing "Learning From Mistakes Makes LLM Better Reasoner"

16 / 16 papers shown

Title
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Zhenyu Hou Xin Lv Rui Lu J. Zhang Y. Li Zijun Yao Juanzi Li J. Tang Yuxiao Dong OffRL LRM ReLM 47 20 0 20 Jan 2025
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models Junyu Chen Han Cai Junsong Chen E. Xie Shang Yang Haotian Tang Muyang Li Y. Lu Song Han DiffM 54 35 0 20 Jan 2025
Retrieved In-Context Principles from Previous Mistakes Hao-Lun Sun Yong-jia Jiang Bo Wang Yingyan Hou Yan Zhang Pengjun Xie Fei Huang 35 1 0 08 Jul 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models Yiyuan Li Shichao Sun Pengfei Liu LRM 35 0 0 01 Jul 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models Seungone Kim Juyoung Suk Ji Yong Cho Shayne Longpre Chaeeun Kim ... Sean Welleck Graham Neubig Moontae Lee Kyungjae Lee Minjoon Seo ELM ALM LM&MA 78 28 0 09 Jun 2024
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation Chengwei Dai Kun Li Wei Zhou Song Hu LRM 18 5 0 30 May 2024
Can LLMs Solve longer Math Word Problems Better? Xin Xu Tong Xiao Zitong Chao Zhenya Huang Can Yang Yang Wang 54 10 0 23 May 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning Yunxiang Zhang Muhammad Khalifa Lajanugen Logeswaran Jaekyeom Kim Moontae Lee Honglak Lee Lu Wang LRM KELM ReLM 23 30 0 26 Apr 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training Xinyan Chen Jiaxin Ge Tianjun Zhang Jiaming Liu Shanghang Zhang VLM EGVM 19 0 0 23 Dec 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model Zhaoyang Wang Shaohan Huang Yuxuan Liu Jiahai Wang Minghui Song ... Haizhen Huang Furu Wei Weiwei Deng Feng Sun Qi Zhang LRM 19 11 0 20 Oct 2023
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems Kaya Stechly Matthew Marquez Subbarao Kambhampati LRM 153 84 0 19 Oct 2023
Language Models are Multilingual Chain-of-Thought Reasoners Freda Shi Mirac Suzgun Markus Freitag Xuezhi Wang Suraj Srivats ... Yi Tay Sebastian Ruder Denny Zhou Dipanjan Das Jason W. Wei ReLM LRM 162 320 0 06 Oct 2022
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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 242 460 0 06 Jan 2021