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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181
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 • 48 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 41 -
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
Paper • 2401.02330 • Published • 14 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 26 -
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 • 4 -
Distilling Vision-Language Models on Millions of Videos
Paper • 2401.06129 • Published • 15 -
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 • 16 -
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Paper • 2402.05935 • Published • 15 -
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Paper • 2402.06118 • Published • 13 -
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Paper • 2402.07865 • Published • 12 -
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Paper • 2402.13577 • Published • 8 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 13 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 19 -
Enhancing Vision-Language Pre-training with Rich Supervisions
Paper • 2403.03346 • Published • 14 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 16 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 18 -
When Do We Not Need Larger Vision Models?
Paper • 2403.13043 • Published • 25 -
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 33 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 51 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 44 -
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 • 74 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 24 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 38 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 18 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 53 -
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 • 35 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 100 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 86 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31 -
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Paper • 2405.15738 • Published • 43 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 52 -
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper • 2406.09961 • Published • 54 -
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Paper • 2406.08418 • Published • 28 -
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Paper • 2406.09403 • Published • 19 -
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
Paper • 2406.08707 • Published • 15 -
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Paper • 2406.05967 • Published • 5 -
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
Paper • 2406.11833 • Published • 61 -
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper • 2406.11839 • Published • 37 -
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Paper • 2406.11271 • Published • 20 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 21 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 21 -
Vision language models are blind
Paper • 2407.06581 • Published • 82 -
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 58 -
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Paper • 2407.06135 • Published • 20 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 30 -
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper • 2407.07053 • Published • 41 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 40 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 9 -
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model
Paper • 2407.16198 • Published • 13 -
VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 39 -
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Paper • 2408.01800 • Published • 79 -
VITA: Towards Open-Source Interactive Omni Multimodal LLM
Paper • 2408.05211 • Published • 47 -
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Paper • 2408.04840 • Published • 32 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 98 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 51 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 50 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 52 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 123 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 83 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 56 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92 -
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
Paper • 2408.15881 • Published • 21 -
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
Paper • 2409.02889 • Published • 55 -
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Paper • 2409.03420 • Published • 26 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 72 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 74 -
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Paper • 2409.12961 • Published • 24 -
Phantom of Latent for Large Language and Vision Models
Paper • 2409.14713 • Published • 27 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 103 -
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness
Paper • 2409.18125 • Published • 33 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 52 -
MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 52 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 92 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 35 -
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks
Paper • 2410.01744 • Published • 25 -
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
Paper • 2410.04734 • Published • 16 -
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Paper • 2410.11779 • Published • 24 -
Baichuan-Omni Technical Report
Paper • 2410.08565 • Published • 84 -
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Paper • 2410.06456 • Published • 35 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 107 -
Pixtral 12B
Paper • 2410.07073 • Published • 60 -
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Paper • 2410.13848 • Published • 30 -
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
Paper • 2410.17247 • Published • 43 -
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 53 -
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Paper • 2410.16153 • Published • 42 -
DM-Codec: Distilling Multimodal Representations for Speech Tokenization
Paper • 2410.15017 • Published • 1 -
Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Paper • 2410.11190 • Published • 20 -
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
Paper • 2410.18798 • Published • 19 -
WAFFLE: Multi-Modal Model for Automated Front-End Development
Paper • 2410.18362 • Published • 11 -
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
Paper • 2410.17779 • Published • 7 -
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Paper • 2410.17434 • Published • 25 -
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Paper • 2410.21169 • Published • 29 -
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
Paper • 2410.19100 • Published • 6 -
GPT-4o System Card
Paper • 2410.21276 • Published • 81 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 18 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 46 -
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
Paper • 2411.04923 • Published • 20 -
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 108 -
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
Paper • 2411.10669 • Published • 10 -
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
Paper • 2411.10640 • Published • 43 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 73 -
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Paper • 2411.17991 • Published • 5 -
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
Paper • 2405.20797 • Published • 28 -
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
Paper • 2412.01824 • Published • 61 -
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
Paper • 2412.00927 • Published • 24 -
On Domain-Specific Post-Training for Multimodal Large Language Models
Paper • 2411.19930 • Published • 24 -
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
Paper • 2412.01292 • Published • 9 -
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 108 -
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Paper • 2412.03069 • Published • 28 -
Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding
Paper • 2412.00493 • Published • 15 -
VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models
Paper • 2411.19103 • Published • 19 -
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Paper • 2412.05271 • Published • 88 -
NVILA: Efficient Frontier Visual Language Models
Paper • 2412.04468 • Published • 46 -
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
Paper • 2412.04424 • Published • 50