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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2510.05096
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Paper • 2510.02283 • Published • 90 -
Paper2Video: Automatic Video Generation from Scientific Papers
Paper • 2510.05096 • Published • 106 -
LongLive: Real-time Interactive Long Video Generation
Paper • 2509.22622 • Published • 176 -
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Paper • 2509.08519 • Published • 125
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WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 70 -
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
Paper • 2508.14041 • Published • 59
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
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
-
Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Paper • 2510.02283 • Published • 90 -
Paper2Video: Automatic Video Generation from Scientific Papers
Paper • 2510.05096 • Published • 106 -
LongLive: Real-time Interactive Long Video Generation
Paper • 2509.22622 • Published • 176 -
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Paper • 2509.08519 • Published • 125
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 70 -
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Paper • 2506.07491 • Published • 50 -
LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
Paper • 2508.14041 • Published • 59