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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
Collections
Discover the best community collections!
Collections including paper arxiv:2510.13747
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Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 34 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 23 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 192 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 50 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 42
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RoboOmni: Proactive Robot Manipulation in Omni-modal Context
Paper • 2510.23763 • Published • 62 -
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Paper • 2510.15870 • Published • 93 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 155 -
InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
Paper • 2510.13747 • Published • 33
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HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 38.2k • 303 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
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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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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
-
RoboOmni: Proactive Robot Manipulation in Omni-modal Context
Paper • 2510.23763 • Published • 62 -
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Paper • 2510.15870 • Published • 93 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 155 -
InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
Paper • 2510.13747 • Published • 33
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 34 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 23 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
HuggingFaceFW/finetranslations
Viewer • Updated • 3.33B • 38.2k • 303 -
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Paper • 2411.00136 • Published -
The Illusion of Readiness in Health AI
Paper • 2509.18234 • Published • 1 -
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Paper • 2601.07220 • Published
-
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 16 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 54 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35
-
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
-
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 192 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 50 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 42