Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

16 September 2022

Papers citing "Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango"

30 / 30 papers shown

Title
Chain-of-Thought Tokens are Computer Program Variables Fangwei Zhu Peiyi Wang Zhifang Sui LRM 44 0 0 08 May 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou Zhaocheng Zhu Xuan Li Mikhail Galkin Xiao Feng Sanmi Koyejo Jian Tang Bo Han LRM 56 0 0 28 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers Qitan Lv T. Liu Haoyu Wang 41 0 0 08 Mar 2025
FLARE: Faithful Logic-Aided Reasoning and Exploration Erik Arakelyan Pasquale Minervini Pat Verga Patrick Lewis Isabelle Augenstein ReLM LRM 66 2 0 14 Oct 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Zayne Sprague Fangcong Yin Juan Diego Rodriguez Dongwei Jiang Manya Wadhwa Prasann Singhal Xinyu Zhao Xi Ye Kyle Mahowald Greg Durrett ReLM LRM 116 86 0 18 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models Daking Rai Yilun Zhou Shi Feng Abulhair Saparov Ziyu Yao 82 19 0 02 Jul 2024
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning Yoichi Aoki Keito Kudo Tatsuki Kuribayashi Shusaku Sone Masaya Taniguchi Keisuke Sakaguchi Kentaro Inui LRM 29 1 0 23 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap François Roewer-Després Jinyue Feng Zining Zhu Frank Rudzicz LRM 48 0 0 04 Jun 2024
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance Matthew Renze Erhan Guven LRM LLMAG 41 36 0 05 May 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems Zhiyuan Li Hong Liu Denny Zhou Tengyu Ma LRM AI4CE 28 96 0 20 Feb 2024
Scalable Qualitative Coding with LLMs: Chain-of-Thought Reasoning Matches Human Performance in Some Hermeneutic Tasks Zackary Dunivin 27 17 0 26 Jan 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 75 27 0 25 Jan 2024
Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations Tasmia Shahriar Kelly Ramos Noboru Matsuda 26 3 0 05 Dec 2023
R $^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context Qingyuan Tian Hanlun Zhu Lei Wang Yang Li Yunshi Lan LRM ReLM 11 7 0 25 Oct 2023
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models Yangyi Chen Karan Sikka Michael Cogswell Heng Ji Ajay Divakaran LRM 36 24 0 08 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 45 20 0 03 Sep 2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models Zhengwei Tao Zhi Jin Xiaoying Bai Haiyan Zhao Yanlin Feng Jia Li Wenpeng Hu 31 4 0 24 May 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations Wei-Lin Chen Cheng-Kuang Wu Yun-Nung Chen Hsin-Hsi Chen 21 27 0 24 May 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 27 39 0 23 May 2023
Dr.ICL: Demonstration-Retrieved In-context Learning Man Luo Xin Xu Zhuyun Dai Panupong Pasupat Mehran Kazemi Chitta Baral Vaiva Imbrasaite Vincent Zhao RALM 26 48 0 23 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting Xingchen Wan Ruoxi Sun H. Dai Sercan Ö. Arik Tomas Pfister ReLM OffRL LRM 18 48 0 23 May 2023
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling Weijia Xu Andrzej Banburski-Fahey Nebojsa Jojic ReLM LRM 21 32 0 17 May 2023
Language Models can Solve Computer Tasks Geunwoo Kim Pierre Baldi Stephen Marcus McAleer LLMAG LM&Ro 43 342 0 30 Mar 2023
How Many Demonstrations Do You Need for In-context Learning? Jiuhai Chen Lichang Chen Chen Zhu Dinesh Manocha LRM 24 39 0 14 Mar 2023
Larger language models do in-context learning differently Jerry W. Wei Jason W. Wei Yi Tay Dustin Tran Albert Webson ... Xinyun Chen Hanxiao Liu Da Huang Denny Zhou Tengyu Ma ReLM LRM 26 353 0 07 Mar 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context Freda Shi Xinyun Chen Kanishka Misra Nathan Scales David Dohan Ed H. Chi Nathanael Scharli Denny Zhou ReLM RALM LRM 30 529 0 31 Jan 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Mirac Suzgun Nathan Scales Nathanael Scharli Sebastian Gehrmann Yi Tay ... Aakanksha Chowdhery Quoc V. Le Ed H. Chi Denny Zhou Jason W. Wei ALM ELM LRM ReLM 77 997 0 17 Oct 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 31 1,400 0 25 Feb 2022
Memory-assisted prompt editing to improve GPT-3 after deployment Aman Madaan Niket Tandon Peter Clark Yiming Yang KELM 38 0 0 16 Jan 2022