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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2407.07726
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NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 73 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 18 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 45 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 106
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 12 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31
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PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 68 -
Vision language models are blind
Paper • 2407.06581 • Published • 83 -
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 35 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper • 2403.05525 • Published • 40
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PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 68 -
Vision language models are blind
Paper • 2407.06581 • Published • 83 -
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
Paper • 2407.07315 • Published • 6 -
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
Paper • 2407.06189 • Published • 26
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DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Paper • 2407.08303 • Published • 17 -
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper • 2407.07053 • Published • 43 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 68 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 40