- 
	
	
	
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:2412.10360 
						
					
				- 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 
- 
	
	
	
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 - 
	
	
	
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 - 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14 
- 
	
	
	
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147 - 
	
	
	
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Paper • 2501.01245 • Published • 5 - 
	
	
	
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
Paper • 2501.00599 • Published • 47 - 
	
	
	
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 33 
- 
	
	
	
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 - 
	
	
	
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 285 - 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147 
- 
	
	
	
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 84 - 
	
	
	
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 - 
	
	
	
OpenAI o1 System Card
Paper • 2412.16720 • Published • 36 - 
	
	
	
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 43 
- 
	
	
	
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 - 
	
	
	
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 - 
	
	
	
OpenAI o1 System Card
Paper • 2412.16720 • Published • 36 - 
	
	
	
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32 
- 
	
	
	
StreamChat: Chatting with Streaming Video
Paper • 2412.08646 • Published • 18 - 
	
	
	
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
Paper • 2412.04432 • Published • 16 - 
	
	
	
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
Paper • 2412.00927 • Published • 29 - 
	
	
	
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
Paper • 2412.09596 • Published • 98 
- 
	
	
	
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 
- 
	
	
	
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 - 
	
	
	
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 285 - 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147 
- 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 
- 
	
	
	
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 84 - 
	
	
	
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 - 
	
	
	
OpenAI o1 System Card
Paper • 2412.16720 • Published • 36 - 
	
	
	
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 43 
- 
	
	
	
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 88 - 
	
	
	
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 - 
	
	
	
OpenAI o1 System Card
Paper • 2412.16720 • Published • 36 - 
	
	
	
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32 
- 
	
	
	
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 - 
	
	
	
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 - 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14 
- 
	
	
	
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147 - 
	
	
	
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Paper • 2501.01245 • Published • 5 - 
	
	
	
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
Paper • 2501.00599 • Published • 47 - 
	
	
	
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 33 
- 
	
	
	
StreamChat: Chatting with Streaming Video
Paper • 2412.08646 • Published • 18 - 
	
	
	
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
Paper • 2412.04432 • Published • 16 - 
	
	
	
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
Paper • 2412.00927 • Published • 29 - 
	
	
	
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
Paper • 2412.09596 • Published • 98