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RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
Collections
Discover the best community collections!
Collections including paper arxiv:2508.08189
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RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
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AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 24 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 113 -
Scaling Generalist Data-Analytic Agents
Paper • 2509.25084 • Published • 21 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117
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Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 22 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 8 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
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REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 146 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
AVATAR: Reinforcement Learning to See, Hear, and Reason Over Video
Paper • 2508.03100 • Published
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A Survey of Direct Preference Optimization
Paper • 2503.11701 • Published -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
A Technical Survey of Reinforcement Learning Techniques for Large Language Models
Paper • 2507.04136 • Published -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193
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Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Paper • 2509.00428 • Published • 19 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 33
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OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 40 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27
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RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 4
-
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 146 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
AVATAR: Reinforcement Learning to See, Hear, and Reason Over Video
Paper • 2508.03100 • Published
-
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Paper • 2406.04151 • Published • 24 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 113 -
Scaling Generalist Data-Analytic Agents
Paper • 2509.25084 • Published • 21 -
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117
-
A Survey of Direct Preference Optimization
Paper • 2503.11701 • Published -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
A Technical Survey of Reinforcement Learning Techniques for Large Language Models
Paper • 2507.04136 • Published -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193
-
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 22 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 8 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30
-
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Paper • 2509.00428 • Published • 19 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 33
-
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 40 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27