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Code as Agent Harness
Paper • 2605.18747 • Published • 224 -
SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
Paper • 2605.12500 • Published • 198 -
From Context to Skills: Can Language Models Learn from Context Skillfully?
Paper • 2604.27660 • Published • 73 -
PhysBrain 1.0 Technical Report
Paper • 2605.15298 • Published • 61
Collections
Discover the best community collections!
Collections including paper arxiv:2509.22647
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Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 664 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 350 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 259 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 237
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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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CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
Paper • 2509.22647 • Published • 38 -
CapRL-Qwen3VL-4B for Image Captioning
🎨6Generate captions for images with CapRL-Qwen3VL-4B
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internlm/CapRL-Qwen3VL-4B
Image-Text-to-Text • 4B • Updated • 934 • 14 -
internlm/CapRL-Qwen3VL-2B
Image-Text-to-Text • 2B • Updated • 409 • 16
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Code as Agent Harness
Paper • 2605.18747 • Published • 224 -
SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
Paper • 2605.12500 • Published • 198 -
From Context to Skills: Can Language Models Learn from Context Skillfully?
Paper • 2604.27660 • Published • 73 -
PhysBrain 1.0 Technical Report
Paper • 2605.15298 • Published • 61
-
CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
Paper • 2509.22647 • Published • 38 -
CapRL-Qwen3VL-4B for Image Captioning
🎨6Generate captions for images with CapRL-Qwen3VL-4B
-
internlm/CapRL-Qwen3VL-4B
Image-Text-to-Text • 4B • Updated • 934 • 14 -
internlm/CapRL-Qwen3VL-2B
Image-Text-to-Text • 2B • Updated • 409 • 16
-
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Paper • 2509.08721 • Published • 664 -
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Paper • 2508.18106 • Published • 350 -
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Paper • 2509.09372 • Published • 259 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 237
-
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