iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 17
multimodal
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Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 91 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 35 -
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities
Paper • 2405.18669 • Published • 12 -
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 20 -
Parrot: Multilingual Visual Instruction Tuning
Paper • 2406.02539 • Published • 37 -
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Paper • 2406.02884 • Published • 18 -
What If We Recaption Billions of Web Images with LLaMA-3?
Paper • 2406.08478 • Published • 43 -
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Paper • 2406.07476 • Published • 37 -
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Paper • 2406.08407 • Published • 28 -
AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation
Paper • 2406.07686 • Published • 17 -
OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 47 -
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Paper • 2406.09403 • Published • 23 -
Explore the Limits of Omni-modal Pretraining at Scale
Paper • 2406.09412 • Published • 12 -
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
Paper • 2406.09406 • Published • 15 -
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper • 2406.09961 • Published • 55 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 55 -
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Paper • 2406.08418 • Published • 33 -
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper • 2406.11839 • Published • 40 -
LLaNA: Large Language and NeRF Assistant
Paper • 2406.11840 • Published • 18 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 35 -
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents
Paper • 2406.13923 • Published • 25 -
Improving Visual Commonsense in Language Models via Multiple Image Generation
Paper • 2406.13621 • Published • 13 -
Multimodal Structured Generation: CVPR's 2nd MMFM Challenge Technical Report
Paper • 2406.11403 • Published • 4 -
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Paper • 2406.16758 • Published • 20 -
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 63 -
Long Context Transfer from Language to Vision
Paper • 2406.16852 • Published • 33 -
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
Paper • 2406.15704 • Published • 6 -
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Paper • 2406.19280 • Published • 63 -
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity
Paper • 2406.17720 • Published • 8 -
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
Paper • 2407.00114 • Published • 13 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 24 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 94 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 23 -
Unveiling Encoder-Free Vision-Language Models
Paper • 2406.11832 • Published • 55 -
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
Paper • 2407.05131 • Published • 26 -
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
Paper • 2407.04172 • Published • 25 -
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge
Paper • 2407.03958 • Published • 21 -
HEMM: Holistic Evaluation of Multimodal Foundation Models
Paper • 2407.03418 • Published • 12 -
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Paper • 2407.06135 • Published • 22 -
Vision language models are blind
Paper • 2407.06581 • Published • 84 -
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
Paper • 2407.06189 • Published • 27 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 42 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 73 -
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
Paper • 2407.11522 • Published • 9 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 17 -
OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
Paper • 2407.11895 • Published • 7 -
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development
Paper • 2407.11784 • Published • 4 -
E5-V: Universal Embeddings with Multimodal Large Language Models
Paper • 2407.12580 • Published • 43 -
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 35 -
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Paper • 2407.12679 • Published • 8 -
EVLM: An Efficient Vision-Language Model for Visual Understanding
Paper • 2407.14177 • Published • 45 -
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
Paper • 2407.15841 • Published • 39 -
VideoGameBunny: Towards vision assistants for video games
Paper • 2407.15295 • Published • 23 -
MIBench: Evaluating Multimodal Large Language Models over Multiple Images
Paper • 2407.15272 • Published • 10 -
Visual Haystacks: Answering Harder Questions About Sets of Images
Paper • 2407.13766 • Published • 2 -
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 -
Efficient Inference of Vision Instruction-Following Models with Elastic Cache
Paper • 2407.18121 • Published • 17 -
Wolf: Captioning Everything with a World Summarization Framework
Paper • 2407.18908 • Published • 33 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22 -
OmniParser for Pure Vision Based GUI Agent
Paper • 2408.00203 • Published • 24 -
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Paper • 2408.01800 • Published • 96 -
Language Model Can Listen While Speaking
Paper • 2408.02622 • Published • 40 -
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning
Paper • 2408.02210 • Published • 9 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 61 -
VITA: Towards Open-Source Interactive Omni Multimodal LLM
Paper • 2408.05211 • Published • 50 -
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
Paper • 2408.06327 • Published • 17 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 101 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 52 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Paper • 2408.11817 • Published • 9 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 51 -
SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models
Paper • 2408.12114 • Published • 15 -
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
Paper • 2408.11813 • Published • 12 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 134 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 58 -
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
Paper • 2408.15881 • Published • 21 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 95 -
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
Paper • 2408.17267 • Published • 23 -
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
Paper • 2408.16176 • Published • 8 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 53 -
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges
Paper • 2409.01071 • Published • 27 -
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
Paper • 2409.02889 • Published • 54 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 34 -
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Paper • 2409.03420 • Published • 26 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 49 -
POINTS: Improving Your Vision-language Model with Affordable Strategies
Paper • 2409.04828 • Published • 24 -
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper • 2409.06666 • Published • 60 -
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
Paper • 2409.09269 • Published • 8 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 75 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 80 -
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Paper • 2409.12001 • Published • 5 -
MonoFormer: One Transformer for Both Diffusion and Autoregression
Paper • 2409.16280 • Published • 18 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 123 -
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Paper • 2409.18042 • Published • 40 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 99 -
MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 53 -
UniMuMo: Unified Text, Music and Motion Generation
Paper • 2410.04534 • Published • 19 -
NL-Eye: Abductive NLI for Images
Paper • 2410.02613 • Published • 23 -
Pixtral 12B
Paper • 2410.07073 • Published • 69 -
Personalized Visual Instruction Tuning
Paper • 2410.07113 • Published • 70 -
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
Paper • 2410.07167 • Published • 39 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 111 -
Multimodal Situational Safety
Paper • 2410.06172 • Published • 12 -
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 54 -
Video Instruction Tuning With Synthetic Data
Paper • 2410.02713 • Published • 41 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 37 -
Distilling an End-to-End Voice Assistant Without Instruction Training Data
Paper • 2410.02678 • Published • 24 -
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Paper • 2410.03450 • Published • 36 -
Baichuan-Omni Technical Report
Paper • 2410.08565 • Published • 88 -
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Paper • 2410.06456 • Published • 37 -
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Paper • 2410.09732 • Published • 54 -
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Paper • 2410.10139 • Published • 51 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 37 -
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
Paper • 2410.10594 • Published • 29 -
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Paper • 2410.10818 • Published • 16 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 6 -
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
Paper • 2410.12787 • Published • 30 -
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Paper • 2410.13085 • Published • 25 -
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Paper • 2410.13848 • Published • 37 -
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures
Paper • 2410.13754 • Published • 76 -
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Paper • 2410.12705 • Published • 32 -
Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant
Paper • 2410.13360 • Published • 9 -
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
Paper • 2410.13859 • Published • 8 -
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Paper • 2410.14669 • Published • 39 -
Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Paper • 2410.11190 • Published • 22 -
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 -
Improve Vision Language Model Chain-of-thought Reasoning
Paper • 2410.16198 • Published • 26 -
Mitigating Object Hallucination via Concentric Causal Attention
Paper • 2410.15926 • Published • 18 -
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Paper • 2410.17637 • Published • 35 -
Can Knowledge Editing Really Correct Hallucinations?
Paper • 2410.16251 • Published • 55 -
Unbounded: A Generative Infinite Game of Character Life Simulation
Paper • 2410.18975 • Published • 37 -
WAFFLE: Multi-Modal Model for Automated Front-End Development
Paper • 2410.18362 • Published • 13 -
ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting
Paper • 2410.17856 • Published • 52 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 19 -
GPT-4o System Card
Paper • 2410.21276 • Published • 88 -
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
Paper • 2410.21220 • Published • 11 -
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
Paper • 2410.19100 • Published • 6 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 50 -
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Paper • 2410.23266 • Published • 20 -
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
Paper • 2411.00836 • Published • 15 -
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
Paper • 2411.02327 • Published • 11 -
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Paper • 2411.04996 • Published • 51 -
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
Paper • 2411.04923 • Published • 23 -
Analyzing The Language of Visual Tokens
Paper • 2411.05001 • Published • 24 -
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Paper • 2411.06176 • Published • 45 -
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 133 -
Generative World Explorer
Paper • 2411.11844 • Published • 77 -
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
Paper • 2411.10640 • Published • 47 -
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
Paper • 2411.10669 • Published • 10 -
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Paper • 2411.13281 • Published • 21 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 87 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 26 -
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
Paper • 2411.14982 • Published • 19 -
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI
Paper • 2411.14522 • Published • 39 -
ShowUI: One Vision-Language-Action Model for GUI Visual Agent
Paper • 2411.17465 • Published • 90 -
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
Paper • 2411.15296 • Published • 21 -
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration
Paper • 2411.17686 • Published • 19 -
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Paper • 2411.17451 • Published • 11 -
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity
Paper • 2411.15411 • Published • 8 -
ChatRex: Taming Multimodal LLM for Joint Perception and Understanding
Paper • 2411.18363 • Published • 10 -
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Paper • 2411.17991 • Published • 5 -
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Paper • 2411.18203 • Published • 41 -
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
Paper • 2411.17176 • Published • 24 -
On Domain-Specific Post-Training for Multimodal Large Language Models
Paper • 2411.19930 • Published • 30 -
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
Paper • 2412.01824 • Published • 64 -
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
Paper • 2412.01800 • Published • 6 -
OmniCreator: Self-Supervised Unified Generation with Universal Editing
Paper • 2412.02114 • Published • 14 -
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 136 -
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
Paper • 2412.02186 • Published • 23 -
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning
Paper • 2412.03565 • Published • 10 -
VisionZip: Longer is Better but Not Necessary in Vision Language Models
Paper • 2412.04467 • Published • 119 -
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
Paper • 2412.04424 • Published • 63 -
NVILA: Efficient Frontier Visual Language Models
Paper • 2412.04468 • Published • 62 -
Personalized Multimodal Large Language Models: A Survey
Paper • 2412.02142 • Published • 13 -
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Paper • 2412.01169 • Published • 13 -
p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay
Paper • 2412.04449 • Published • 7 -
CompCap: Improving Multimodal Large Language Models with Composite Captions
Paper • 2412.05243 • Published • 21 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 29 -
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance
Paper • 2412.06673 • Published • 11 -
POINTS1.5: Building a Vision-Language Model towards Real World Applications
Paper • 2412.08443 • Published • 39 -
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
Paper • 2412.09596 • Published • 97 -
Multimodal Latent Language Modeling with Next-Token Diffusion
Paper • 2412.08635 • Published • 50 -
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
Paper • 2412.09501 • Published • 48 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 148 -
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
Paper • 2412.09604 • Published • 39 -
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Paper • 2412.10704 • Published • 16 -
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Paper • 2412.14171 • Published • 24 -
Progressive Multimodal Reasoning via Active Retrieval
Paper • 2412.14835 • Published • 73 -
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
Paper • 2412.14475 • Published • 59 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 42 -
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Paper • 2412.18619 • Published • 60 -
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
Paper • 2412.19326 • Published • 18 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 111 -
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Paper • 2501.01957 • Published • 48 -
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Paper • 2501.01904 • Published • 33 -
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
Paper • 2501.03218 • Published • 35 -
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 83 -
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Paper • 2501.03895 • Published • 52 -
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis
Paper • 2501.04561 • Published • 16 -
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Paper • 2501.04003 • Published • 27 -
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Paper • 2501.05874 • Published • 75 -
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 67 -
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper • 2501.05510 • Published • 44 -
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
Paper • 2501.05452 • Published • 15 -
Infecting Generative AI With Viruses
Paper • 2501.05542 • Published • 13 -
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models
Paper • 2501.05767 • Published • 29 -
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Paper • 2501.06282 • Published • 54 -
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Paper • 2501.07888 • Published • 15 -
Do generative video models learn physical principles from watching videos?
Paper • 2501.09038 • Published • 34 -
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Paper • 2501.12368 • Published • 46 -
MSTS: A Multimodal Safety Test Suite for Vision-Language Models
Paper • 2501.10057 • Published • 10 -
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Paper • 2501.13106 • Published • 92 -
Temporal Preference Optimization for Long-Form Video Understanding
Paper • 2501.13919 • Published • 23 -
Baichuan-Omni-1.5 Technical Report
Paper • 2501.15368 • Published • 61 -
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity
Paper • 2501.16295 • Published • 9 -
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
Paper • 2502.01341 • Published • 40 -
Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment
Paper • 2502.04328 • Published • 29 -
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
Paper • 2502.06788 • Published • 14 -
Scaling Pre-training to One Hundred Billion Data for Vision Language Models
Paper • 2502.07617 • Published • 29 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 219 -
Slamming: Training a Speech Language Model on One GPU in a Day
Paper • 2502.15814 • Published • 69 -
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
Paper • 2502.18411 • Published • 74 -
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
Paper • 2502.17422 • Published • 7 -
Introducing Visual Perception Token into Multimodal Large Language Model
Paper • 2502.17425 • Published • 16 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 97 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 124 -
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
Paper • 2503.08625 • Published • 27 -
OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models
Paper • 2503.08686 • Published • 19 -
Aligning Multimodal LLM with Human Preference: A Survey
Paper • 2503.14504 • Published • 26 -
MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
Paper • 2503.13111 • Published • 7 -
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Paper • 2503.16365 • Published • 41 -
Judge Anything: MLLM as a Judge Across Any Modality
Paper • 2503.17489 • Published • 23 -
CoMP: Continual Multimodal Pre-training for Vision Foundation Models
Paper • 2503.18931 • Published • 31 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 79 -
PAVE: Patching and Adapting Video Large Language Models
Paper • 2503.19794 • Published • 3 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 210 -
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought
Paper • 2504.05599 • Published • 87 -
OmniCaptioner: One Captioner to Rule Them All
Paper • 2504.07089 • Published • 21 -
Kimi-VL Technical Report
Paper • 2504.07491 • Published • 142 -
MM-IFEngine: Towards Multimodal Instruction Following
Paper • 2504.07957 • Published • 35 -
Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models
Paper • 2504.07951 • Published • 32 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 311 -
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Paper • 2504.09925 • Published • 39 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding
Paper • 2504.10465 • Published • 27 -
The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer
Paper • 2504.10462 • Published • 16 -
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Paper • 2504.15271 • Published • 69 -
LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale
Paper • 2504.16030 • Published • 38 -
X-Fusion: Introducing New Modality to Frozen Large Language Models
Paper • 2504.20996 • Published • 13 -
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
Paper • 2505.02625 • Published • 23 -
Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
Paper • 2505.02471 • Published • 15 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 82 -
Seed1.5-VL Technical Report
Paper • 2505.07062 • Published • 157 -
Aya Vision: Advancing the Frontier of Multilingual Multimodality
Paper • 2505.08751 • Published • 14 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 99 -
Jodi: Unification of Visual Generation and Understanding via Joint Modeling
Paper • 2505.19084 • Published • 20 -
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Paper • 2505.20256 • Published • 19 -
Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model
Paper • 2505.23606 • Published • 14 -
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Paper • 2506.03147 • Published • 59 -
Is Extending Modality The Right Path Towards Omni-Modality?
Paper • 2506.01872 • Published • 24 -
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model
Paper • 2506.13642 • Published • 28 -
Show-o2: Improved Native Unified Multimodal Models
Paper • 2506.15564 • Published • 31 -
OmniGen2: Exploration to Advanced Multimodal Generation
Paper • 2506.18871 • Published • 79 -
Ovis-U1 Technical Report
Paper • 2506.23044 • Published • 63 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 133 -
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
Paper • 2506.23918 • Published • 90 -
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
Paper • 2507.13348 • Published • 80 -
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
Paper • 2507.12566 • Published • 16 -
Pixels, Patterns, but No Poetry: To See The World like Humans
Paper • 2507.16863 • Published • 69 -
ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
Paper • 2507.20939 • Published • 58 -
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
Paper • 2507.19427 • Published • 22 -
Phi-Ground Tech Report: Advancing Perception in GUI Grounding
Paper • 2507.23779 • Published • 46 -
Multimodal Referring Segmentation: A Survey
Paper • 2508.00265 • Published • 9 -
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Paper • 2508.02317 • Published • 23 -
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
Paper • 2508.01548 • Published • 14 -
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 • 116 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 274 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 224 -
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
Paper • 2508.18264 • Published • 25 -
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Paper • 2508.21113 • Published • 111 -
Kwai Keye-VL 1.5 Technical Report
Paper • 2509.01563 • Published • 41 -
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Paper • 2509.16197 • Published • 58 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 154 -
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
Paper • 2509.18154 • Published • 62 -
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
Paper • 2509.18905 • Published • 31 -
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Paper • 2510.13795 • Published • 60 -
InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
Paper • 2510.13747 • Published • 33 -
ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution
Paper • 2510.12793 • Published • 5 -
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Paper • 2510.11341 • Published • 37 -
AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model
Paper • 2510.11496 • Published • 5 -
Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
Paper • 2510.08492 • Published • 10 -
DeepSeek-OCR: Contexts Optical Compression
Paper • 2510.18234 • Published • 95 -
Glyph: Scaling Context Windows via Visual-Text Compression
Paper • 2510.17800 • Published • 69 -
LongCat-Flash-Omni Technical Report
Paper • 2511.00279 • Published • 27 -
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 117 -
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Paper • 2510.24821 • Published • 43 -
Visual Spatial Tuning
Paper • 2511.05491 • Published • 53 -
DeepEyesV2: Toward Agentic Multimodal Model
Paper • 2511.05271 • Published • 47 -
OneThinker: All-in-one Reasoning Model for Image and Video
Paper • 2512.03043 • Published • 35 -
Kling-Omni Technical Report
Paper • 2512.16776 • Published • 174 -
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
Paper • 2601.10611 • Published • 35 -
LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
Paper • 2603.01068 • Published • 22 -
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper • 2604.20796 • Published • 244