Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
Paper
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2403.02677
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Published
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16
Paper list
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Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
Paper • 2403.03003 • Published • 8 -
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding
Paper • 2403.01487 • Published • 14 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 40 -
FuseChat: Knowledge Fusion of Chat Models
Paper • 2402.16107 • Published • 35 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 70 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 119 -
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Paper • 2403.06764 • Published • 24 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper • 2403.05525 • Published • 38 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 61 -
Enhancing Vision-Language Pre-training with Rich Supervisions
Paper • 2403.03346 • Published • 12 -
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
Paper • 2403.13248 • Published • 72 -
When Do We Not Need Larger Vision Models?
Paper • 2403.13043 • Published • 24 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 13