Papers - CoT - Chain of Thought
updated
Contrastive Decoding Improves Reasoning in Large Language Models
Paper
• 2309.09117
• Published • 40
Chain-of-Thought Reasoning Without Prompting
Paper
• 2402.10200
• Published • 109
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual
Math Problems?
Paper
• 2403.14624
• Published • 53
Chain of Thought Empowers Transformers to Solve Inherently Serial
Problems
Paper
• 2402.12875
• Published • 13
Cognitive Architectures for Language Agents
Paper
• 2309.02427
• Published • 8
Can large language models explore in-context?
Paper
• 2403.15371
• Published • 33
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Paper
• 2305.10601
• Published • 15
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper
• 2201.11903
• Published • 15
Visualization-of-Thought Elicits Spatial Reasoning in Large Language
Models
Paper
• 2404.03622
• Published • 5
Rho-1: Not All Tokens Are What You Need
Paper
• 2404.07965
• Published • 94
Contrastive Chain-of-Thought Prompting
Paper
• 2311.09277
• Published • 35
Iterative Reasoning Preference Optimization
Paper
• 2404.19733
• Published • 50
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language
Models
Paper
• 2406.04271
• Published • 29
Improve Mathematical Reasoning in Language Models by Automated Process
Supervision
Paper
• 2406.06592
• Published • 29
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo
Tree Self-refine with LLaMa-3 8B
Paper
• 2406.07394
• Published • 29
Distilling System 2 into System 1
Paper
• 2407.06023
• Published • 4
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Paper
• 2407.13301
• Published • 55
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on
Tasks where Thinking Makes Humans Worse
Paper
• 2410.21333
• Published • 12
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A
Gradient Perspective
Paper
• 2410.23743
• Published • 64
Physics of Language Models: Part 3.2, Knowledge Manipulation
Paper
• 2309.14402
• Published • 7
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper
• 2411.14405
• Published • 61
Training Large Language Models to Reason in a Continuous Latent Space
Paper
• 2412.06769
• Published • 94
Paper
• 2412.08905
• Published • 122