Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Paper
•
2501.18585
•
Published
•
59
Reasoning
-
-
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization
Paper • 2412.18279 • Published -
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
Paper • 2501.10799 • Published • 15 -
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 38 -
Dynamic Scaling of Unit Tests for Code Reward Modeling
Paper • 2501.01054 • Published • 17 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 35 -
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
Paper • 2410.09008 • Published • 17 -
Subtle Errors Matter: Preference Learning via Error-injected Self-editing
Paper • 2410.06638 • Published -
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models
Paper • 2502.04404 • Published • 24 -
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Paper • 2502.06781 • Published • 60 -
SIFT: Grounding LLM Reasoning in Contexts via Stickers
Paper • 2502.14922 • Published • 30 -
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Paper • 2404.13026 • Published • 24 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 55 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 27 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 27 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 110