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Collections including paper arxiv:2501.03575

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Papers - Tokenizers - World Sim

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

OpenAI o1 System Card

Paper • 2412.16720 • Published Dec 21, 2024 • 36
Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
POINTS1.5: Building a Vision-Language Model towards Real World Applications

Paper • 2412.08443 • Published Dec 11, 2024 • 38

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Phi-4 Technical Report

Paper • 2412.08905 • Published Dec 12, 2024 • 121
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
DeepSeek-V3 Technical Report

Paper • 2412.19437 • Published Dec 27, 2024 • 71

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 50

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Paper • 2501.00599 • Published Dec 31, 2024 • 47
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Paper • 2501.03841 • Published Jan 7 • 56
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Paper • 2501.04003 • Published Jan 7 • 27

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

2025 LLM Papers on Hugging Face with Japanese Memos

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Paper • 2501.02955 • Published Jan 6 • 44
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Paper • 2501.12380 • Published Jan 21 • 85
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Paper • 2501.09781 • Published Jan 16 • 28

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

Papers - Tokenizers - World Sim

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Paper • 2501.00599 • Published Dec 31, 2024 • 47
OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Paper • 2501.03841 • Published Jan 7 • 56
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Paper • 2501.04003 • Published Jan 7 • 27

OpenAI o1 System Card

Paper • 2412.16720 • Published Dec 21, 2024 • 36
Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
POINTS1.5: Building a Vision-Language Model towards Real World Applications

Paper • 2412.08443 • Published Dec 11, 2024 • 38

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Phi-4 Technical Report

Paper • 2412.08905 • Published Dec 12, 2024 • 121
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
DeepSeek-V3 Technical Report

Paper • 2412.19437 • Published Dec 27, 2024 • 71

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81

Cosmos World Foundation Model Platform for Physical AI

Paper • 2501.03575 • Published Jan 7 • 81
Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Paper • 2502.11831 • Published Feb 17 • 20
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Paper • 2503.05333 • Published Mar 7 • 8
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

Paper • 2503.15558 • Published Mar 18 • 50

2025 LLM Papers on Hugging Face with Japanese Memos

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Paper • 2501.02955 • Published Jan 6 • 44
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Paper • 2501.12380 • Published Jan 21 • 85
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Paper • 2501.09781 • Published Jan 16 • 28

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