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Discover the best community collections!

Collections including paper arxiv:2503.24290

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

🤔 Reasoning about Reasoning

papers and articles about reasoning LLMs

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Paper • 2504.05599 • Published Apr 8 • 85

about 3 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Paper • 2504.05118 • Published Apr 7 • 26
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models

Paper • 2504.04718 • Published Apr 7 • 42
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement

Paper • 2504.03561 • Published Apr 4 • 18
Concept Lancet: Image Editing with Compositional Representation Transplant

Paper • 2504.02828 • Published Apr 3 • 16

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 136
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

about 3 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Paper • 2504.05118 • Published Apr 7 • 26
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models

Paper • 2504.04718 • Published Apr 7 • 42
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement

Paper • 2504.03561 • Published Apr 4 • 18
Concept Lancet: Image Editing with Compositional Representation Transplant

Paper • 2504.02828 • Published Apr 3 • 16

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141

🤔 Reasoning about Reasoning

papers and articles about reasoning LLMs

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Paper • 2504.05599 • Published Apr 8 • 85

R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Paper • 2503.10615 • Published Mar 13 • 17
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Paper • 2503.10630 • Published Mar 13 • 6
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88

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