Collection by 
Dec 10, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2512.07802
Collection by 
Dec 15, 2025
Collection by 
May 30
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EgoX: Egocentric Video Generation from a Single Exocentric Video
Paper • 2512.08269 • Published • 124 -
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Paper • 2512.08765 • Published • 134 -
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
Paper • 2512.09363 • Published • 74 -
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Paper • 2512.08478 • Published • 77
Collection by 
Jun 14
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collection by 
Feb 3
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ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning
Paper • 2512.02835 • Published • 10 -
Joint 3D Geometry Reconstruction and Motion Generation for 4D Synthesis from a Single Image
Paper • 2512.05044 • Published • 17 -
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
Paper • 2512.05591 • Published • 17 -
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Paper • 2512.05343 • Published • 25
Collection by 
18 days ago
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 1.76k • 101 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 41 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 98 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
Collection by 
May 25
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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
Collection by Dec 10, 2025
Collection by Feb 3
-
ReVSeg: Incentivizing the Reasoning Chain for Video Segmentation with Reinforcement Learning
Paper • 2512.02835 • Published • 10 -
Joint 3D Geometry Reconstruction and Motion Generation for 4D Synthesis from a Single Image
Paper • 2512.05044 • Published • 17 -
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
Paper • 2512.05591 • Published • 17 -
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Paper • 2512.05343 • Published • 25
Collection by Dec 15, 2025
Collection by 18 days ago
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 1.76k • 101 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 41 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 98 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
Collection by May 30
-
EgoX: Egocentric Video Generation from a Single Exocentric Video
Paper • 2512.08269 • Published • 124 -
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Paper • 2512.08765 • Published • 134 -
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
Paper • 2512.09363 • Published • 74 -
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Paper • 2512.08478 • Published • 77
Collection by May 25
-
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
Collection by Jun 14
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25