An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models （2024.06.07）
Xiongtao Zhou, Jie He, Yuhua Ke, Guangyao Zhu, V'ictor Guti'errez-Basulto, etc
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM （2024.04.24）
Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, etc . - 【arXiv.org】
Nicolay Rusnachenko, Huizhi Liang
Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models （2024.04.04）
Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, etc
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought （2024.04.04）
Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, etc
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models （2024.03.25）
Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, etc
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science （2024.03.21）
Clayton Cohn, Nicole M. Hutchins, Tuan Le, Gautam Biswas
NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning （2024.03.12）
Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, etc
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis （2024.03.11）
Yanming Liu, Xinyue Peng, Tianyu Du, Jianwei Yin, Weihao Liu, etc
Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought （2024.03.08）
James Chua, Edward Rees, Hunar Batra, Samuel R. Bowman, Julian Michael, etc
Chain-of-Thought Unfaithfulness as Disguised Accuracy （2024.02.22）
Oliver Bentham, Nathan Stringham, Ana Marasovi'c . - 【arXiv.org】
Chain-of-Thought Reasoning Without Prompting （2024.02.15）
Xuezhi Wang, Denny Zhou . - 【arXiv.org】
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding （2024.01.09）
Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, etc . - 【arXiv.org】
A Logically Consistent Chain-of-Thought Approach for Stance Detection （2023.12.26）
Bowen Zhang, Daijun Ding, Liwen Jing, Hutchin Huang
Assessing the Impact of Prompting, Persona, and Chain of Thought Methods on ChatGPT's Arithmetic Capabilities （2023.12.22）
Yuhao Chen, Chloe Wong, Hanwen Yang, Juan Aguenza, Sai Bhujangari, etc
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model （2023.12.18）
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, etc
ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs) （2023.12.15）
Tosin P. Adewumi, Lama Alkhaled, Claudia Buck, Sergio Hernandez, Saga Brilioth, etc
Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models （2023.12.14）
Liqi He, Zuchao Li, Xiantao Cai, Ping Wang
Control Risk for Potential Misuse of Artificial Intelligence in Science （2023.12.11）
Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, etc
Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models （2023.12.09）
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, etc
Latent Skill Discovery for Chain-of-Thought Reasoning （2023.12.07）
Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi
Yutaka Jitsumatsu
WonderJourney: Going from Anywhere to Everywhere （2023.12.06）
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, etc
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models （2023.12.04）
Bingshuai Liu, Chenyang Lyu, Zijun Min, Zhanyu Wang, Jinsong Su, etc . - 【arXiv.org】
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication （2023.12.04）
Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Training Chain-of-Thought via Latent-Variable Inference （2023.11.28）
Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, etc . - 【arXiv.org】
Compositional Chain-of-Thought Prompting for Large Multimodal Models （2023.11.27）
Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig . - 【arXiv.org】
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions （2023.11.23）
S. Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents （2023.11.20）
Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, etc . - 【arXiv.org】
An Embodied Generalist Agent in 3D World （2023.11.18）
Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, etc . - 【arXiv.org】
Bibek Upadhayay, Vahid Behzadan . - 【arXiv.org】
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning （2023.11.16）
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Yilun Zhao, Xingyao Zhang, etc . - 【arXiv.org】
Contrastive Chain-of-Thought Prompting （2023.11.15）
Yew Ken Chia, Guizhen Chen, Anh Tuan Luu, Soujanya Poria, Lidong Bing . - 【arXiv.org】
Towards Verifiable Text Generation with Symbolic References （2023.11.15）
Lucas Torroba Hennigen, Zejiang Shen, Aniruddha Nrusimha, Bernhard Gapp, David Sontag, etc . - 【arXiv.org】
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task （2023.11.15）
Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oğuz, James C. Gee, etc . - 【arXiv.org】
Learning skillful medium-range global weather forecasting. （2023.11.14）
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, etc . - 【Science】
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster （2023.11.14）
Hongxuan Zhang, Zhining Liu, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, etc . - 【arXiv.org】
Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts （2023.11.14）
Leonardo Ranaldi, F. M. Zanzotto . - 【arXiv.org】
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning （2023.11.14）
Xin Su, Tiep Le, Steven Bethard, Phillip Howard . - 【arXiv.org】
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction （2023.11.10）
Xilai Ma, Jing Li, Min Zhang . - 【Conference on Empirical Methods in Natural Language Processing】
Chain of Images for Intuitively Reasoning （2023.11.09）
Fanxu Meng, Haotong Yang, Yiding Wang, Muhan Zhang . - 【arXiv.org】
Can LLMs Follow Simple Rules? （2023.11.06）
Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, etc . - 【arXiv.org】
Levels of AGI: Operationalizing Progress on the Path to AGI （2023.11.04）
Meredith Ringel Morris, Jascha Narain Sohl-Dickstein, Noah Fiedel, T. Warkentin, Allan Dafoe, etc . - 【arXiv.org】
Implicit Chain of Thought Reasoning via Knowledge Distillation （2023.11.02）
Yuntian Deng, Kiran Prasad, Roland Fernandez, P. Smolensky, Vishrav Chaudhary, etc . - 【arXiv.org】
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection （2023.10.31）
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Chain-of-Thought Embeddings for Stance Detection on Social Media （2023.10.30）
Joseph Gatto, Omar Sharif, S. Preum . - 【Conference on Empirical Methods in Natural Language Processing】
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought （2023.10.26）
Hanchong Zhang, Ruisheng Cao, Lu Chen, Hongshen Xu, Kai Yu . - 【Conference on Empirical Methods in Natural Language Processing】
CodeFusion: A Pre-trained Diffusion Model for Code Generation （2023.10.26）
Mukul Singh, J. Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, etc
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models （2023.10.25）
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang . - 【arXiv.org】
Qingyuan Tian, Hanlun Zhu, Lei Wang, Yang Li, Yunshi Lan . - 【Conference on Empirical Methods in Natural Language Processing】
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning （2023.10.24）
Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett . - 【arXiv.org】
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting （2023.10.24）
Lei Li . - 【arXiv.org】
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts （2023.10.23）
Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages （2023.10.23）
Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, Wanxiang Che . - 【Conference on Empirical Methods in Natural Language Processing】
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism （2023.10.23）
Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama . - 【Conference on Empirical Methods in Natural Language Processing】
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks （2023.10.23）
Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu . - 【Conference on Empirical Methods in Natural Language Processing】
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains （2023.10.22）
Vaibhav Mavi, Abulhair Saparov, Chen Zhao . - 【NLLP】
Why Can Large Language Models Generate Correct Chain-of-Thoughts? （2023.10.20）
Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar . - 【arXiv.org】
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning （2023.10.20）
Jinyuan Wang, Junlong Li, Hai Zhao . - 【Conference on Empirical Methods in Natural Language Processing】
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding （2023.10.18）
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scaling of Texts with Large Language Models （2023.10.18）
Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, Solomon Messing . - 【arXiv.org】
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation （2023.10.16）
Yingwei Ma, Yue Yu, Shanshan Li, Yu Jiang, Yong Guo, etc . - 【arXiv.org】
Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models （2023.10.10）
Anni Zou, Zhuosheng Zhang, Hai Zhao, Xiangru Tang . - 【arXiv.org】
Towards Better Chain-of-Thought Prompting Strategies: A Survey （2023.10.08）
Zihan Yu, Liang He, Zhen Wu, Xinyu Dai, Jiajun Chen . - 【arXiv.org】
Large Language Models Cannot Self-Correct Reasoning Yet （2023.10.03）
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, A. Yu, etc . - 【arXiv.org】
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future （2023.09.27）
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, etc . - 【arXiv.org】
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic （2023.09.23）
Xufeng Zhao, Mengdi Li, Wenhao Lu, C. Weber, Jae Hee Lee, etc . - 【arXiv.org】
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models （2023.09.21）
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, etc . - 【arXiv.org】
FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models （2023.08.29）
Pengwei Xing, Songtao Lu, Han Yu . - 【arXiv.org】
Graph of Thoughts: Solving Elaborate Problems with Large Language Models （2023.08.18）
Maciej Besta, Nils Blach, Aleš Kubíček, R. Gerstenberger, Lukas Gianinazzi, etc . - 【arXiv.org】
Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering （2023.08.14）
Edward Junprung . - 【arXiv.org】
Cumulative Reasoning with Large Language Models （2023.08.08）
Yifan Zhang, Jingqin Yang, Yang Yuan, A. Yao . - 【arXiv.org】
Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics （2023.07.04）
M. Swan, Takashi Kido, Eric Roland, R. P. D. Santos . - 【arXiv.org】
Chain-Of-Thought Prompting Under Streaming Batch: A Case Study （2023.06.01）
Yuxin Tang . - 【arXiv.org】
Majority Rule: better patching via Self-Consistency （2023.05.31）
Toufique Ahmed, Prem Devanbu . - 【arXiv.org】
Strategic Reasoning with Language Models （2023.05.30）
Kanishk Gandhi, Dorsa Sadigh, Noah D. Goodman . - 【arXiv.org】
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models （2023.05.29）
Y. Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang . - 【arXiv.org】
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning （2023.05.29）
Zhanming Jie, Wei Lu . - 【arXiv.org】
Tab-CoT: Zero-shot Tabular Chain of Thought （2023.05.28）
Ziqi Jin, Wei Lu . - 【arXiv.org】
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models （2023.05.26）
Yao Yao, Z. Li, Hai Zhao . - 【arXiv.org】
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting （2023.05.26）
Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, S. Kurohashi . - 【arXiv.org】
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance （2023.05.26）
Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao-Chun Peng, etc . - 【arXiv.org】
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought （2023.05.26）
Huaxiaoyue Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma, Sanjiban Choudhury . - 【arXiv.org】
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective （2023.05.24）
Guhao Feng, Yuntian Gu, Bohang Zhang, Haotian Ye, Di He, etc
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration （2023.05.24）
Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, etc
In-Context Demonstration Selection with Cross Entropy Difference （2023.05.24）
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, etc
Exploring Chain-of-Thought Style Prompting for Text-to-SQL （2023.05.23）
Chang-You Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun . - 【arXiv.org】
"Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures （2023.05.23）
Zae Myung Kim, David E. Taylor, Dongyeop Kang . - 【arXiv.org】
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction （2023.05.23）
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, etc . - 【arXiv.org】
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models （2023.05.23）
Z. Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, etc
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning （2023.05.23）
Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, etc . - 【arXiv.org】
Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method （2023.05.22）
Yiming Wang, Zhuosheng Zhang, Rui Wang . - 【arXiv.org】
LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4 （2023.05.20）
Hanmeng Liu, Zhiyang Teng, Leyang Cui, Chaoli Zhang, Qiji Zhou, etc
SelfzCoT: a Self-Prompt Zero-shot CoT from Semantic-level to Code-level for a Better Utilization of LLMs （2023.05.19）
IokTong Lei, ZhiDong Deng . - 【arXiv.org】
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought （2023.05.19）
Tianci Xue, Ziqi Wang, Zhenhailong Wang, Chi Han, Pengfei Yu, etc . - 【arXiv.org】
Chain-of-thought prompting for responding to in-depth dialogue questions with LLM （2023.05.19）
Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Rui-Lan Xu, etc . - 【arXiv.org】
Reasoning Implicit Sentiment with Chain-of-Thought Prompting （2023.05.18）
Hao Fei, Bobo Li, Qianchu Liu, Lidong Bing, Fei Li, etc . - 【arXiv.org】
Tree of Thoughts: Deliberate Problem Solving with Large Language Models （2023.05.17）
Shunyu Yao, Dian Yu, Jeffrey Zhao, I. Shafran, T. Griffiths, etc . - 【arXiv.org】
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models （2023.05.17）
Hanxu Hu, Hongyuan Lu, Huajian Zhang, Wai Lam, Yue Zhang . - 【arXiv.org】
Structured Chain-of-Thought Prompting for Code Generation （2023.05.11）
Jia Li, Ge Li, Yongming Li, Zhi Jin
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting （2023.05.07）
Miles Turpin, Julian Michael, Ethan Perez, Sam Bowman . - 【arXiv.org】
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models （2023.05.06）
Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, etc . - 【arXiv.org】
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework （2023.05.05）
Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing . - 【arXiv.org】
Lei Wang, Yilang Hu, Jiabang He, Xingdong Xu, Ning Liu, etc . - 【arXiv.org】
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets （2023.05.04）
Konstantin Hebenstreit, Robert Praas, Louis P Kiesewetter, M. Samwald . - 【arXiv.org】
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings （2023.05.03）
Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, etc . - 【arXiv.org】
SCOTT: Self-Consistent Chain-of-Thought Distillation （2023.05.03）
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, etc . - 【arXiv.org】
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes （2023.05.03）
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, etc . - 【Annual Meeting of the Association for Computational Linguistics】
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models （2023.04.23）
Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, etc
Chain of Thought Prompt Tuning in Vision Language Models （2023.04.16）
Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, etc
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media （2023.04.06）
Bowen Zhang, Xianghua Fu, Daijun Ding, Hutchin Huang, Yangyang Li, etc . - 【arXiv.org】
Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning （2023.03.16）
Haibiao Xuan, Xiongzheng Li, Jinsong Zhang, Hongwen Zhang, Yebin Liu, etc . - 【arXiv.org】
Active Prompting with Chain-of-Thought for Large Language Models （2023.02.23）
Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang . - 【ArXiv】
Multimodal Chain-of-Thought Reasoning in Language Models （2023.02.02）
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, G. Karypis, etc . - 【ArXiv】
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models （2023.02.01）
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, etc . - 【ArXiv】
Faithful Chain-of-Thought Reasoning （2023.01.31）
QING LYU, Shreya Havaldar, Adam Stein, Li Zhang, D. Rao, etc . - 【ArXiv】
Large Language Models Are Reasoning Teachers （2022.12.20）
Namgyu Ho, Laura Schmid, Se-Young Yun . - 【ArXiv】
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks （2022.11.22）
Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen . - 【ArXiv】
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them （2022.10.17）
Mirac Suzgun, Nathan Scales, Nathanael Scharli, Sebastian Gehrmann, Yi Tay, etc . - 【ArXiv】
Large Language Models are few(1)-shot Table Reasoners （2022.10.13）
Wenhu Chen . - 【ArXiv】
Automatic Chain of Thought Prompting in Large Language Models （2022.10.07）
Zhuosheng Zhang, Aston Zhang, Mu Li, Alexander J. Smola . - 【ArXiv】
Language Models are Multilingual Chain-of-Thought Reasoners （2022.10.06）
Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, etc . - 【ArXiv】
Decomposed Prompting: A Modular Approach for Solving Complex Tasks （2022.10.05）
Tushar Khot, H. Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, etc . - 【ArXiv】
Complexity-Based Prompting for Multi-Step Reasoning （2022.10.03）
Yao Fu, Hao-Chun Peng, Ashish Sabharwal, Peter Clark, Tushar Khot . - 【ArXiv】
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought （2022.10.03）
Abulhair Saparov, He He . - 【ArXiv】
Compositional Semantic Parsing with Large Language Models （2022.09.29）
Andrew Drozdov, Nathanael Scharli, Ekin Akyuurek, Nathan Scales, Xinying Song, etc . - 【ArXiv】
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering （2022.09.20）
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, etc . - 【ArXiv】
FOLIO: Natural Language Reasoning with First-Order Logic （2022.09.02）
Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, etc . - 【ArXiv】
Faithful Reasoning Using Large Language Models （2022.08.30）
Antonia Creswell, M. Shanahan . - 【ArXiv】
Rationale-Augmented Ensembles in Language Models （2022.07.02）
Xuezhi Wang, Jason Wei, D. Schuurmans, Quoc Le, E. Chi, etc . - 【ArXiv】
On the Advance of Making Language Models Better Reasoners （2022.06.06）
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, etc . - 【ArXiv】
Large Language Models are Zero-Shot Reasoners （2022.05.24）
Takeshi Kojima, S. Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa . - 【ArXiv】
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models （2022.05.21）
Denny Zhou, Nathanael Scharli, Le Hou, Jason Wei, Nathan Scales, etc . - 【ArXiv】
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning （2022.05.19）
Antonia Creswell, M. Shanahan, I. Higgins . - 【ArXiv】
Can language models learn from explanations in context? （2022.04.05）
Andrew Kyle Lampinen, I. Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, etc . - 【Conference on Empirical Methods in Natural Language Processing】
STaR: Bootstrapping Reasoning With Reasoning （2022.03.28）
E. Zelikman, Yuhuai Wu, Noah D. Goodman . - 【ArXiv】
Self-Consistency Improves Chain of Thought Reasoning in Language Models （2022.03.21）
Xuezhi Wang, Jason Wei, D. Schuurmans, Quoc Le, E. Chi, etc . - 【ArXiv】
Iteratively Prompt Pre-trained Language Models for Chain of Thought （2022.03.16）
Boshi Wang, Xiang Deng, Huan Sun . - 【Conference on Empirical Methods in Natural Language Processing】
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data （2022.03.16）
Shuo Wang, Yichong Xu, Yuwei Fang, Yang Liu, S. Sun, etc . - 【Annual Meeting of the Association for Computational Linguistics】
Chain of Thought Prompting Elicits Reasoning in Large Language Models （2022.01.28）
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, E. Chi, etc . - 【ArXiv】
Show Your Work: Scratchpads for Intermediate Computation with Language Models （2021.11.30）
Maxwell Nye, Anders Andreassen, Guy Gur-Ari, H. Michalewski, Jacob Austin, etc . - 【ArXiv】
Few-Shot Self-Rationalization with Natural Language Prompts （2021.11.16）
Ana Marasović, Iz Beltagy, Doug Downey, Matthew E. Peters . - 【NAACL-HLT】
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts （2021.10.04）
Tongshuang Sherry Wu, Michael Terry, Carrie J. Cai . - 【International Conference on Human Factors in Computing Systems】
