Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Paper
• 2501.18585 • Published
• 61
Reasoning Models
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LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 40 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 152 -
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 113 -
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning
Paper • 2503.05379 • Published • 38 -
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Paper • 2503.05132 • Published • 57 -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning
Paper • 2503.07365 • Published • 61 -
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Paper • 2503.07536 • Published • 88 -
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Paper • 2503.12605 • Published • 35 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 30 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 144 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 32 -
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Paper • 2503.20641 • Published • 10 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
Effectively Controlling Reasoning Models through Thinking Intervention
Paper • 2503.24370 • Published • 19 -
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Paper • 2503.21614 • Published • 43 -
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
Paper • 2503.24376 • Published • 38 -
Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
Paper • 2504.00294 • Published • 10 -
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Paper • 2506.01939 • Published • 188 -
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
Paper • 2506.07527 • Published • 3 -
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper • 2506.06941 • Published • 16 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
Paper • 2506.07976 • Published • 6 -
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
Paper • 2506.18896 • Published • 29 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 131 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 32 -
Perception-Aware Policy Optimization for Multimodal Reasoning
Paper • 2507.06448 • Published • 48 -
Test-Time Scaling with Reflective Generative Model
Paper • 2507.01951 • Published • 108 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 67 -
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
Paper • 2507.05255 • Published • 75 -
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 88 -
The Invisible Leash: Why RLVR May Not Escape Its Origin
Paper • 2507.14843 • Published • 85 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 317 -
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
Paper • 2507.15758 • Published • 35 -
THU-KEG/LongWriter-Zero-32B
Text Generation • 33B • Updated • 19 • • 111 -
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Paper • 2507.14958 • Published • 47 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Paper • 2508.08221 • Published • 50 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 144 -
GTAlign: Game-Theoretic Alignment of LLM Assistants for Mutual Welfare
Paper • 2510.08872 • Published • 4 -
RL makes MLLMs see better than SFT
Paper • 2510.16333 • Published • 49 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 229 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 48 -
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 93 -
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
Paper • 2512.23988 • Published • 18 -
Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
Paper • 2601.05432 • Published • 167 -
PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss
Paper • 2602.02493 • Published • 42 -
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 32 -
Code2World: A GUI World Model via Renderable Code Generation
Paper • 2602.09856 • Published • 193