Large Language Models are Contrastive Reasoners

13 March 2024

Papers citing "Large Language Models are Contrastive Reasoners"

7 / 7 papers shown

Title
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models Jongho Kim Seung-won Hwang LRM AI4CE 44 0 0 17 Feb 2025
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models Kaleem Ullah Qasim Jiashu Zhang Tariq Alsahfi Ateeq Ur Rehman Butt LRM ReLM 54 1 0 03 Jan 2025
Contrastive Chain-of-Thought Prompting Yew Ken Chia Guizhen Chen Anh Tuan Luu Soujanya Poria Lidong Bing LRM AI4CE 39 14 0 15 Nov 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 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
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 301 11,730 0 04 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