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Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper • 2407.20798 • Published • 24 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
Collections
Discover the best community collections!
Collections including paper arxiv:2505.18129
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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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One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
One-RL-to-See-Them-All/Orsta-Data-47k
Updated • 516 • 17 -
One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 662 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 40 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
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 • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 99 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 52 -
Performance Trade-offs of Optimizing Small Language Models for E-Commerce
Paper • 2510.21970 • Published • 3
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One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • 33B • Updated • 16 • 8 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
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One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • 33B • Updated • 16 • 8 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
-
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
Paper • 2407.20798 • Published • 24 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 104 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
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 • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
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
-
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 99 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 52 -
Performance Trade-offs of Optimizing Small Language Models for E-Commerce
Paper • 2510.21970 • Published • 3
-
One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • 33B • Updated • 16 • 8 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
-
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62 -
One-RL-to-See-Them-All/Orsta-Data-47k
Updated • 516 • 17 -
One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2
-
One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • 8B • Updated • 23 • 12 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • 33B • Updated • 16 • 2 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • 33B • Updated • 16 • 8 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 62
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 662 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 40 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88