Building and better understanding vision-language models: insights and future directions
Paper
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2408.12637
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Published
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109
Multimodal LLMs
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Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 54 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 49 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 81 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 30 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92 -
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 54 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 123 -
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
Paper • 2409.02889 • Published • 53 -
FrozenSeg: Harmonizing Frozen Foundation Models for Open-Vocabulary Segmentation
Paper • 2409.03525 • Published • 11 -
PiTe: Pixel-Temporal Alignment for Large Video-Language Model
Paper • 2409.07239 • Published • 11 -
One missing piece in Vision and Language: A Survey on Comics Understanding
Paper • 2409.09502 • Published • 23 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 47