DocLLM: A layout-aware generative language model for multimodal document understanding
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2401.00908
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Published
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173
Multimodal LLM
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COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 14 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 40 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 39 -
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
Paper • 2401.02330 • Published • 11 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 24 -
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Paper • 2206.08916 • Published -
ImageBind: One Embedding Space To Bind Them All
Paper • 2305.05665 • Published • 3 -
Distilling Vision-Language Models on Millions of Videos
Paper • 2401.06129 • Published • 13 -
LEGO:Language Enhanced Multi-modal Grounding Model
Paper • 2401.06071 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 12 -
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Paper • 2402.05935 • Published • 12 -
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Paper • 2402.06118 • Published • 12 -
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Paper • 2402.07865 • Published • 11 -
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Paper • 2402.13577 • Published • 5 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 11 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 16 -
Enhancing Vision-Language Pre-training with Rich Supervisions
Paper • 2403.03346 • Published • 12 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 13 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 16 -
When Do We Not Need Larger Vision Models?
Paper • 2403.13043 • Published • 23 -
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 31 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 50 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 69 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 37 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 29 -
OmniFusion Technical Report
Paper • 2404.06212 • Published • 73 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 23 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 34 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 16 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 48 -
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
Paper • 2404.16790 • Published • 7 -
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 30