Contrastive Decoding Improves Reasoning in Large Language Models Paper • 2309.09117 • Published Sep 17, 2023 • 37
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Paper • 2403.14624 • Published Mar 21 • 51
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems Paper • 2402.12875 • Published Feb 20 • 13
Tree of Thoughts: Deliberate Problem Solving with Large Language Models Paper • 2305.10601 • Published May 17, 2023 • 10
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Paper • 2201.11903 • Published Jan 28, 2022 • 9
Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models Paper • 2404.03622 • Published Apr 4 • 4
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Paper • 2406.04271 • Published Jun 6 • 27
Improve Mathematical Reasoning in Language Models by Automated Process Supervision Paper • 2406.06592 • Published Jun 5 • 24
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B Paper • 2406.07394 • Published Jun 11 • 22
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis Paper • 2407.13301 • Published Jul 18 • 54
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse Paper • 2410.21333 • Published 13 days ago • 9
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published 10 days ago • 57