Papers
264 papers found
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
Ancheng Xu, Minghuan Tan, Lei Wang et al.
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
Xinyu Tang, Xiaolei Wang, Zhihao Lv et al.
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
Xuan Zhang, Chao Du, Tianyu Pang et al.
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Se Joo, Doyoung Kim et al.
Examining the Faithfulness of Deepseek R1’s Chain-of-Thought Reasoning
Chrisanna Cornish, Anna Rogers
Examining the Faithfulness of Deepseek R1’s Chain-of-Thought Reasoning
Chrisanna Cornish, Anna Rogers
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
Franz Nowak, Anej Svete, Alexandra Butoi et al.
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic
Xin Zheng, Jie Lou, Boxi Cao et al.
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
Fengqing Jiang, Zhangchen Xu, Yuetai Li et al.
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Elita Lobo, Chirag Agarwal, Himabindu Lakkaraju
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
Xin Su, Tiep Le, Steven Bethard et al.
Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning
Maxwell Weinzierl, Sanda Harabagiu
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
Shaotian Yan, Chen Shen, Wenxiao Wang et al.
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang, Sewon Min, Xiang Deng et al.
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
Junda Wu, Xintong Li, Ruoyu Wang et al.
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
Tao Fan, Guoqiang Ma, Yuanfeng Song et al.
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
Md Arafat Sultan, Jatin Ganhotra, Ramón Fernandez Astudillo
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts
Xiang Li, Shizhu He, Jiayu Wu et al.
Let’s Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
Xu Liu, Yongheng Zhang, Qiguang Chen et al.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans et al.
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Ge Zheng, Bin Yang, Jiajin Tang et al.
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought
Yuki Wang, Gonzalo Gonzalez-Pumariega, Yash Sharma et al.
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Yingcong Li, Kartik Sreenivasan, Angeliki Giannou et al.
Training Chain-of-Thought via Latent-Variable Inference
Du Phan, Matthew Douglas Hoffman, David Dohan et al.
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Miles Turpin, Julian Michael, Ethan Perez et al.