RATT: A Thought Structure for Coherent and Correct LLM Reasoning

4 June 2024

Papers citing "RATT: A Thought Structure for Coherent and Correct LLM Reasoning"

7 / 7 papers shown

Title
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation Zihao Wang Anji Liu Haowei Lin Jiaqi Li Xiaojian Ma Yitao Liang ReLM RALM LRM 77 9 0 08 Mar 2024
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models Hanxing Ding Liang Pang Zihao Wei Huawei Shen Xueqi Cheng HILM RALM 67 15 0 16 Feb 2024
Large Language Models: A Survey Shervin Minaee Tomáš Mikolov Narjes Nikzad M. Asgari-Chenaghlu R. Socher Xavier Amatriain Jianfeng Gao ALM LM&MA ELM 102 347 0 09 Feb 2024
Towards Better Chain-of-Thought Prompting Strategies: A Survey Zihan Yu Liang He Zhen Wu Xinyu Dai Jiajun Chen LRM 112 40 0 08 Oct 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 161 388 0 02 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
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 313 8,261 0 28 Jan 2022