Collections
Discover the best community collections!
Collections including paper arxiv:2406.11251
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NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 74 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 20 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 48 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
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 • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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Nemotron ColEmbed V2: Top-Performing Late Interaction embedding models for Visual Document Retrieval
Paper • 2602.03992 • Published • 1 -
M3DR: Towards Universal Multilingual Multimodal Document Retrieval
Paper • 2512.03514 • Published • 9 -
ModernVBERT: Towards Smaller Visual Document Retrievers
Paper • 2510.01149 • Published • 33 -
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model
Paper • 2507.05513 • Published • 1
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VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 31 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 36 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 9 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 15
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Nemotron ColEmbed V2: Top-Performing Late Interaction embedding models for Visual Document Retrieval
Paper • 2602.03992 • Published • 1 -
M3DR: Towards Universal Multilingual Multimodal Document Retrieval
Paper • 2512.03514 • Published • 9 -
ModernVBERT: Towards Smaller Visual Document Retrievers
Paper • 2510.01149 • Published • 33 -
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model
Paper • 2507.05513 • Published • 1
-
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 74 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 20 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 48 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121
-
VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 31 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 36 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 9 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 15
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
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 • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23