TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper
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2402.14289
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Published
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19
Papers - Multimodal
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ImageBind: One Embedding Space To Bind Them All
Paper • 2305.05665 • Published • 3 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Paper • 2206.02770 • Published • 3 -
Handwriting Transformers
Paper • 2104.03964 • Published • 2 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 7 -
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Paper • 2304.14178 • Published • 2 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45 -
Flamingo: a Visual Language Model for Few-Shot Learning
Paper • 2204.14198 • Published • 14 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 10 -
Qwen Technical Report
Paper • 2309.16609 • Published • 34 -
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Paper • 2402.12226 • Published • 40 -
Unifying Vision, Text, and Layout for Universal Document Processing
Paper • 2212.02623 • Published • 10 -
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer
Paper • 2403.10301 • Published • 51 -
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Paper • 2403.10517 • Published • 31 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 16 -
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation
Paper • 2403.12906 • Published • 5 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 18 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 51 -
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models
Paper • 2403.14438 • Published • 2 -
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
Paper • 2403.15377 • Published • 22 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 44 -
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 6 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 6 -
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
Paper • 2404.03118 • Published • 23 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 27 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 80 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 30 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 24 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 21 -
Data curation via joint example selection further accelerates multimodal learning
Paper • 2406.17711 • Published • 3 -
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Paper • 2407.08583 • Published • 10 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 66 -
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper • 2407.07053 • Published • 41 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 13 -
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling
Paper • 2408.03695 • Published • 12 -
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Paper • 2408.04840 • Published • 31 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 97 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92