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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189
Multimodal LLM
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COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 43 -
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
Paper • 2401.02330 • Published • 18 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 30 -
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Paper • 2206.08916 • Published • 1 -
ImageBind: One Embedding Space To Bind Them All
Paper • 2305.05665 • Published • 6 -
Distilling Vision-Language Models on Millions of Videos
Paper • 2401.06129 • Published • 17 -
LEGO:Language Enhanced Multi-modal Grounding Model
Paper • 2401.06071 • Published • 12 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
Paper • 2402.05935 • Published • 17 -
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Paper • 2402.06118 • Published • 15 -
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Paper • 2402.07865 • Published • 15 -
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
Paper • 2402.13577 • Published • 9 -
A Touch, Vision, and Language Dataset for Multimodal Alignment
Paper • 2402.13232 • Published • 16 -
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 21 -
Enhancing Vision-Language Pre-training with Rich Supervisions
Paper • 2403.03346 • Published • 17 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 17 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 19 -
When Do We Not Need Larger Vision Models?
Paper • 2403.13043 • Published • 26 -
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 35 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 53 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 77 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 47 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30 -
OmniFusion Technical Report
Paper • 2404.06212 • Published • 77 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Paper • 2404.12387 • Published • 39 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 19 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 57 -
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
Paper • 2404.16790 • Published • 10 -
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 36 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 103 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 34 -
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models
Paper • 2405.15738 • Published • 46 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 54 -
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper • 2406.09961 • Published • 55 -
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Paper • 2406.08418 • Published • 31 -
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Paper • 2406.09403 • Published • 23 -
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
Paper • 2406.08707 • Published • 17 -
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Paper • 2406.05967 • Published • 6 -
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
Paper • 2406.11833 • Published • 63 -
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper • 2406.11839 • Published • 39 -
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Paper • 2406.11271 • Published • 21 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 24 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 24 -
Vision language models are blind
Paper • 2407.06581 • Published • 84 -
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 62 -
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Paper • 2407.06135 • Published • 23 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 33 -
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper • 2407.07053 • Published • 47 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 42 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11 -
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 • 41 -
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Paper • 2408.01800 • Published • 89 -
VITA: Towards Open-Source Interactive Omni Multimodal LLM
Paper • 2408.05211 • Published • 50 -
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Paper • 2408.04840 • Published • 34 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 100 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 52 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 51 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 63 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 87 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 57 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 95 -
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 • 54 -
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 • 74 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 78 -
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Paper • 2409.12961 • Published • 25 -
Phantom of Latent for Large Language and Vision Models
Paper • 2409.14713 • Published • 29 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121 -
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness
Paper • 2409.18125 • Published • 34 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 56 -
MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 53 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 37 -
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks
Paper • 2410.01744 • Published • 26 -
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
Paper • 2410.04734 • Published • 17 -
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Paper • 2410.11779 • Published • 26 -
Baichuan-Omni Technical Report
Paper • 2410.08565 • Published • 87 -
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Paper • 2410.06456 • Published • 37 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 111 -
Pixtral 12B
Paper • 2410.07073 • Published • 68 -
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Paper • 2410.13848 • Published • 34 -
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
Paper • 2410.17247 • Published • 47 -
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 56 -
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Paper • 2410.16153 • Published • 44 -
DM-Codec: Distilling Multimodal Representations for Speech Tokenization
Paper • 2410.15017 • Published • 2 -
Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Paper • 2410.11190 • Published • 22 -
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
Paper • 2410.18798 • Published • 21 -
WAFFLE: Multi-Modal Model for Automated Front-End Development
Paper • 2410.18362 • Published • 13 -
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
Paper • 2410.17779 • Published • 9 -
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Paper • 2410.17434 • Published • 29 -
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Paper • 2410.21169 • Published • 30 -
GPT-4o System Card
Paper • 2410.21276 • Published • 87 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 19 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49 -
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
Paper • 2411.04923 • Published • 24 -
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 129 -
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 • 46 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 90 -
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 • 30 -
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
Paper • 2412.01824 • Published • 64 -
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
Paper • 2412.00927 • Published • 29 -
On Domain-Specific Post-Training for Multimodal Large Language Models
Paper • 2411.19930 • Published • 29 -
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
Paper • 2412.01292 • Published • 13 -
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 133 -
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Paper • 2412.03069 • Published • 35 -
Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding
Paper • 2412.00493 • Published • 17 -
VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models
Paper • 2411.19103 • Published • 21 -
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Paper • 2412.05271 • Published • 159 -
NVILA: Efficient Frontier Visual Language Models
Paper • 2412.04468 • Published • 59 -
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
Paper • 2412.04424 • Published • 63 -
POINTS1.5: Building a Vision-Language Model towards Real World Applications
Paper • 2412.08443 • Published • 38 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 54 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147 -
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities
Paper • 2412.07769 • Published • 29 -
Multimodal Latent Language Modeling with Next-Token Diffusion
Paper • 2412.08635 • Published • 48 -
OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation
Paper • 2412.09585 • Published • 11 -
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
Paper • 2412.10302 • Published • 18 -
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
Paper • 2412.09604 • Published • 38 -
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
Paper • 2412.11974 • Published • 9 -
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer
Paper • 2412.13871 • Published • 18 -
Descriptive Caption Enhancement with Visual Specialists for Multimodal Perception
Paper • 2412.14233 • Published • 6 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 43 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Paper • 2412.18609 • Published • 18 -
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
Paper • 2412.18176 • Published • 17 -
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
Paper • 2412.18525 • Published • 75 -
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
Paper • 2412.20070 • Published • 45 -
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Paper • 2412.18619 • Published • 58 -
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Paper • 2501.01957 • Published • 47 -
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Paper • 2501.01904 • Published • 33 -
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
Paper • 2501.02976 • Published • 55 -
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Paper • 2501.03895 • Published • 52 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 53 -
An Empirical Study of Autoregressive Pre-training from Videos
Paper • 2501.05453 • Published • 41 -
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 65 -
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Paper • 2501.06282 • Published • 53 -
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
Paper • 2501.08187 • Published • 27 -
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Paper • 2501.07888 • Published • 16 -
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
Paper • 2501.07783 • Published • 7 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
Paper • 2501.08326 • Published • 33 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 27 -
Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
Paper • 2501.11733 • Published • 28 -
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Paper • 2501.13106 • Published • 90 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 62 -
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
Paper • 2502.01341 • Published • 39 -
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
Paper • 2412.14164 • Published • 4 -
Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment
Paper • 2502.04328 • Published • 30 -
VideoRoPE: What Makes for Good Video Rotary Position Embedding?
Paper • 2502.05173 • Published • 65 -
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation
Paper • 2502.05415 • Published • 22 -
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
Paper • 2502.06788 • Published • 13 -
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents
Paper • 2502.04223 • Published • 11 -
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
Paper • 2502.12148 • Published • 17 -
Soundwave: Less is More for Speech-Text Alignment in LLMs
Paper • 2502.12900 • Published • 85 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
Paper • 2502.09838 • Published • 11 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 208 -
UniTok: A Unified Tokenizer for Visual Generation and Understanding
Paper • 2502.20321 • Published • 31 -
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Paper • 2503.01743 • Published • 89 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 96 -
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
Paper • 2503.03983 • Published • 26 -
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
Paper • 2503.10582 • Published • 24 -
ARMOR v0.1: Empowering Autoregressive Multimodal Understanding Model with Interleaved Multimodal Generation via Asymmetric Synergy
Paper • 2503.06542 • Published • 7 -
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
Paper • 2503.12533 • Published • 68 -
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Paper • 2503.16365 • Published • 40 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Paper • 2503.18931 • Published • 30 -
Scaling Vision Pre-Training to 4K Resolution
Paper • 2503.19903 • Published • 41 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 166 -
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
Paper • 2504.00595 • Published • 36 -
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
Paper • 2504.00557 • Published • 15 -
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
Paper • 2503.23733 • Published • 10 -
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
Paper • 2504.01934 • Published • 22 -
Scaling Analysis of Interleaved Speech-Text Language Models
Paper • 2504.02398 • Published • 31 -
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
Paper • 2504.00502 • Published • 25 -
Slow-Fast Architecture for Video Multi-Modal Large Language Models
Paper • 2504.01328 • Published • 7 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 200 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 132 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 300 -
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Paper • 2504.09925 • Published • 38 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Paper • 2504.15271 • Published • 66 -
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes
Paper • 2504.15270 • Published • 9 -
Vidi: Large Multimodal Models for Video Understanding and Editing
Paper • 2504.15681 • Published • 14 -
MR. Video: "MapReduce" is the Principle for Long Video Understanding
Paper • 2504.16082 • Published • 5 -
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Paper • 2504.17432 • Published • 39 -
Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation
Paper • 2504.17207 • Published • 30 -
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs
Paper • 2504.17040 • Published • 13 -
Kimi-Audio Technical Report
Paper • 2504.18425 • Published • 19 -
MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
Paper • 2504.16083 • Published • 9 -
YoChameleon: Personalized Vision and Language Generation
Paper • 2504.20998 • Published • 12 -
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Paper • 2504.21336 • Published • 4 -
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
Paper • 2505.02707 • Published • 85 -
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
Paper • 2505.02625 • Published • 22 -
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
Paper • 2505.01456 • Published • 2 -
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
Paper • 2505.03739 • Published • 10 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 80 -
On Path to Multimodal Generalist: General-Level and General-Bench
Paper • 2505.04620 • Published • 82 -
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Paper • 2505.05467 • Published • 14 -
Seed1.5-VL Technical Report
Paper • 2505.07062 • Published • 152 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 98 -
Aya Vision: Advancing the Frontier of Multilingual Multimodality
Paper • 2505.08751 • Published • 12 -
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Paper • 2505.05464 • Published • 11 -
Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM?
Paper • 2505.09439 • Published • 9 -
End-to-End Vision Tokenizer Tuning
Paper • 2505.10562 • Published • 22 -
FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 70 -
Emerging Properties in Unified Multimodal Pretraining
Paper • 2505.14683 • Published • 134 -
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
Paper • 2505.16175 • Published • 41 -
Backdoor Cleaning without External Guidance in MLLM Fine-tuning
Paper • 2505.16916 • Published • 16 -
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
Paper • 2505.17015 • Published • 9 -
HoliTom: Holistic Token Merging for Fast Video Large Language Models
Paper • 2505.21334 • Published • 21 -
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
Paper • 2505.20715 • Published • 2 -
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Paper • 2505.23747 • Published • 68 -
ZeroGUI: Automating Online GUI Learning at Zero Human Cost
Paper • 2505.23762 • Published • 45 -
VidText: Towards Comprehensive Evaluation for Video Text Understanding
Paper • 2505.22810 • Published • 19 -
TokBench: Evaluating Your Visual Tokenizer before Visual Generation
Paper • 2505.18142 • Published • 2 -
Don't Look Only Once: Towards Multimodal Interactive Reasoning with Selective Visual Revisitation
Paper • 2505.18842 • Published • 36 -
Fork-Merge Decoding: Enhancing Multimodal Understanding in Audio-Visual Large Language Models
Paper • 2505.20873 • Published • 9 -
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
Paper • 2506.01853 • Published • 32 -
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
Paper • 2505.21724 • Published • 5 -
Aligning VLM Assistants with Personalized Situated Cognition
Paper • 2506.00930 • Published • 2 -
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling
Paper • 2505.15772 • Published • 3 -
Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
Paper • 2506.00123 • Published • 35 -
MiMo-VL Technical Report
Paper • 2506.03569 • Published • 80 -
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
Paper • 2506.05344 • Published • 16 -
FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion
Paper • 2506.01111 • Published • 30 -
Is Extending Modality The Right Path Towards Omni-Modality?
Paper • 2506.01872 • Published • 23 -
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Paper • 2506.07044 • Published • 113 -
MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis
Paper • 2506.08900 • Published • 3 -
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper • 2506.09344 • Published • 28 -
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model
Paper • 2506.13642 • Published • 26 -
VideoMolmo: Spatio-Temporal Grounding Meets Pointing
Paper • 2506.05336 • Published • 9 -
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Paper • 2506.15681 • Published • 39 -
CoMemo: LVLMs Need Image Context with Image Memory
Paper • 2506.06279 • Published • 8 -
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Paper • 2506.14435 • Published • 7 -
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
Paper • 2506.14824 • Published • 7 -
Show-o2: Improved Native Unified Multimodal Models
Paper • 2506.15564 • Published • 28 -
UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation
Paper • 2506.17202 • Published • 10 -
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
Paper • 2506.15745 • Published • 13 -
OmniGen2: Exploration to Advanced Multimodal Generation
Paper • 2506.18871 • Published • 77 -
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
Paper • 2506.18898 • Published • 33 -
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Paper • 2506.18095 • Published • 66 -
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs
Paper • 2506.21862 • Published • 36 -
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
Paper • 2506.21356 • Published • 22 -
Ovis-U1 Technical Report
Paper • 2506.23044 • Published • 62 -
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding
Paper • 2506.23219 • Published • 7 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 130 -
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Paper • 2507.00316 • Published • 15 -
MARVIS: Modality Adaptive Reasoning over VISualizations
Paper • 2507.01544 • Published • 13 -
Scaling RL to Long Videos
Paper • 2507.07966 • Published • 157 -
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Paper • 2507.07990 • Published • 45 -
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
Paper • 2507.12566 • Published • 14 -
Voxtral
Paper • 2507.13264 • Published • 29 -
Pixels, Patterns, but No Poetry: To See The World like Humans
Paper • 2507.16863 • Published • 68 -
Region-based Cluster Discrimination for Visual Representation Learning
Paper • 2507.20025 • Published • 19 -
X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
Paper • 2507.22058 • Published • 39 -
Phi-Ground Tech Report: Advancing Perception in GUI Grounding
Paper • 2507.23779 • Published • 44 -
Qwen-Image Technical Report
Paper • 2508.02324 • Published • 259 -
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Paper • 2508.02317 • Published • 19 -
MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs
Paper • 2508.05502 • Published • 6 -
UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding
Paper • 2507.22025 • Published • 4 -
Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
Paper • 2508.03320 • Published • 61 -
LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Paper • 2508.03694 • Published • 50 -
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
Paper • 2508.05954 • Published • 6 -
Ovis2.5 Technical Report
Paper • 2508.11737 • Published • 110 -
Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping
Paper • 2508.12466 • Published • 8 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 137 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 255 -
LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model
Paper • 2508.15418 • Published • 7 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 202 -
MIDAS: Multimodal Interactive Digital-human Synthesis via Real-time Autoregressive Video Generation
Paper • 2508.19320 • Published • 28 -
VibeVoice Technical Report
Paper • 2508.19205 • Published • 123 -
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
Paper • 2509.01215 • Published • 50 -
Kwai Keye-VL 1.5 Technical Report
Paper • 2509.01563 • Published • 36 -
Visual Programmability: A Guide for Code-as-Thought in Chart Understanding
Paper • 2509.09286 • Published • 11 -
Curia: A Multi-Modal Foundation Model for Radiology
Paper • 2509.06830 • Published • 20 -
UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
Paper • 2509.11543 • Published • 47 -
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Paper • 2509.16197 • Published • 54 -
AToken: A Unified Tokenizer for Vision
Paper • 2509.14476 • Published • 36 -
SAIL-VL2 Technical Report
Paper • 2509.14033 • Published • 44 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 133 -
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
Paper • 2509.18154 • Published • 49 -
Seedream 4.0: Toward Next-generation Multimodal Image Generation
Paper • 2509.20427 • Published • 76 -
UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
Paper • 2509.21760 • Published • 14 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 127 -
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Paper • 2509.19768 • Published • 4 -
MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech
Paper • 2509.25131 • Published • 14 -
HunyuanImage 3.0 Technical Report
Paper • 2509.23951 • Published • 21 -
Apriel-1.5-15b-Thinker
Paper • 2510.01141 • Published • 113 -
UniVideo: Unified Understanding, Generation, and Editing for Videos
Paper • 2510.08377 • Published • 68 -
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Paper • 2510.08565 • Published • 19 -
InstructX: Towards Unified Visual Editing with MLLM Guidance
Paper • 2510.08485 • Published • 16 -
Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer
Paper • 2510.06590 • Published • 70 -
Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
Paper • 2510.01954 • Published • 12 -
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
Paper • 2510.08673 • Published • 121 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 80 -
InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
Paper • 2510.13747 • Published • 29 -
Scaling Language-Centric Omnimodal Representation Learning
Paper • 2510.11693 • Published • 97 -
Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback
Paper • 2510.16888 • Published • 18 -
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
Paper • 2510.15870 • Published • 86 -
From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
Paper • 2510.14979 • Published • 65 -
olmOCR 2: Unit Test Rewards for Document OCR
Paper • 2510.19817 • Published • 11 -
DeepSeek-OCR: Contexts Optical Compression
Paper • 2510.18234 • Published • 70 -
Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
Paper • 2510.13251 • Published • 12 -
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 94 -
JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
Paper • 2510.23538 • Published • 93 -
PairUni: Pairwise Training for Unified Multimodal Language Models
Paper • 2510.25682 • Published • 13