iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper
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2405.15223
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Published
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12
multimodal
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Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 86 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31 -
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities
Paper • 2405.18669 • Published • 11 -
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 19 -
Parrot: Multilingual Visual Instruction Tuning
Paper • 2406.02539 • Published • 35 -
PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
Paper • 2406.02884 • Published • 15 -
What If We Recaption Billions of Web Images with LLaMA-3?
Paper • 2406.08478 • Published • 39 -
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
Paper • 2406.07476 • Published • 32 -
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Paper • 2406.08407 • Published • 24 -
AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation
Paper • 2406.07686 • Published • 14 -
OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 36 -
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Paper • 2406.09403 • Published • 19 -
Explore the Limits of Omni-modal Pretraining at Scale
Paper • 2406.09412 • Published • 10 -
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
Paper • 2406.09406 • Published • 13 -
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Paper • 2406.09961 • Published • 54 -
Needle In A Multimodal Haystack
Paper • 2406.07230 • Published • 52 -
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Paper • 2406.08418 • Published • 28 -
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper • 2406.11839 • Published • 37 -
LLaNA: Large Language and NeRF Assistant
Paper • 2406.11840 • Published • 17 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 34 -
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents
Paper • 2406.13923 • Published • 21 -
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 • 19 -
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 57 -
Long Context Transfer from Language to Vision
Paper • 2406.16852 • Published • 32 -
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
Paper • 2406.15704 • Published • 5 -
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Paper • 2406.19280 • Published • 60 -
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity
Paper • 2406.17720 • Published • 7 -
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
Paper • 2407.00114 • Published • 12 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 21 -
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Paper • 2407.03320 • Published • 92 -
TokenPacker: Efficient Visual Projector for Multimodal LLM
Paper • 2407.02392 • Published • 21 -
Unveiling Encoder-Free Vision-Language Models
Paper • 2406.11832 • Published • 49 -
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
Paper • 2407.05131 • Published • 24 -
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
Paper • 2407.04172 • Published • 22 -
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge
Paper • 2407.03958 • Published • 18 -
HEMM: Holistic Evaluation of Multimodal Foundation Models
Paper • 2407.03418 • Published • 8 -
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Paper • 2407.06135 • Published • 20 -
Vision language models are blind
Paper • 2407.06581 • Published • 82 -
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
Paper • 2407.06189 • Published • 24 -
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Paper • 2407.07895 • Published • 40 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 68 -
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
Paper • 2407.11522 • Published • 8 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 13 -
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 • 39 -
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 33 -
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Paper • 2407.12679 • Published • 7 -
EVLM: An Efficient Vision-Language Model for Visual Understanding
Paper • 2407.14177 • Published • 42 -
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 • 21 -
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 • 39 -
Efficient Inference of Vision Instruction-Following Models with Elastic Cache
Paper • 2407.18121 • Published • 16 -
Wolf: Captioning Everything with a World Summarization Framework
Paper • 2407.18908 • Published • 31 -
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 • 23 -
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Paper • 2408.01800 • Published • 78 -
Language Model Can Listen While Speaking
Paper • 2408.02622 • Published • 37 -
ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning
Paper • 2408.02210 • Published • 7 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 60 -
VITA: Towards Open-Source Interactive Omni Multimodal LLM
Paper • 2408.05211 • Published • 46 -
VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents
Paper • 2408.06327 • Published • 15 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 97 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 51 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 21 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 56 -
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Paper • 2408.11817 • Published • 8 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 50 -
SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models
Paper • 2408.12114 • Published • 12 -
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
Paper • 2408.11813 • Published • 11 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 121 -
CogVLM2: Visual Language Models for Image and Video Understanding
Paper • 2408.16500 • Published • 56 -
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
Paper • 2408.15881 • Published • 20 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92 -
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 • 7 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 52 -
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges
Paper • 2409.01071 • Published • 26 -
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 • 28 -
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding
Paper • 2409.03420 • Published • 25 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 45 -
POINTS: Improving Your Vision-language Model with Affordable Strategies
Paper • 2409.04828 • Published • 22 -
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper • 2409.06666 • Published • 55 -
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
Paper • 2409.09269 • Published • 7 -
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 -
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Paper • 2409.12001 • Published • 3 -
MonoFormer: One Transformer for Both Diffusion and Autoregression
Paper • 2409.16280 • Published • 17 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 103 -
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Paper • 2409.18042 • Published • 36 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 91 -
MIO: A Foundation Model on Multimodal Tokens
Paper • 2409.17692 • Published • 51 -
UniMuMo: Unified Text, Music and Motion Generation
Paper • 2410.04534 • Published • 18 -
NL-Eye: Abductive NLI for Images
Paper • 2410.02613 • Published • 22 -
Pixtral 12B
Paper • 2410.07073 • Published • 60 -
Personalized Visual Instruction Tuning
Paper • 2410.07113 • Published • 69 -
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
Paper • 2410.07167 • Published • 37 -
Aria: An Open Multimodal Native Mixture-of-Experts Model
Paper • 2410.05993 • Published • 107 -
Multimodal Situational Safety
Paper • 2410.06172 • Published • 8 -
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 52 -
Video Instruction Tuning With Synthetic Data
Paper • 2410.02713 • Published • 37 -
LLaVA-Critic: Learning to Evaluate Multimodal Models
Paper • 2410.02712 • Published • 34 -
Distilling an End-to-End Voice Assistant Without Instruction Training Data
Paper • 2410.02678 • Published • 22 -
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Paper • 2410.03450 • Published • 36 -
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 -
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 • 50 -
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 • 22 -
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Paper • 2410.10818 • Published • 14 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 5 -
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 • 20 -
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
Paper • 2410.13848 • Published • 29 -
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures
Paper • 2410.13754 • Published • 74 -
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Paper • 2410.12705 • Published • 29 -
Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant
Paper • 2410.13360 • Published • 8 -
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
Paper • 2410.13859 • Published • 7 -
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Paper • 2410.14669 • Published • 35 -
Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Paper • 2410.11190 • Published • 20 -
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 -
Improve Vision Language Model Chain-of-thought Reasoning
Paper • 2410.16198 • Published • 17 -
Mitigating Object Hallucination via Concentric Causal Attention
Paper • 2410.15926 • Published • 14 -
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Paper • 2410.17637 • Published • 34 -
Can Knowledge Editing Really Correct Hallucinations?
Paper • 2410.16251 • Published • 54 -
Unbounded: A Generative Infinite Game of Character Life Simulation
Paper • 2410.18975 • Published • 34 -
WAFFLE: Multi-Modal Model for Automated Front-End Development
Paper • 2410.18362 • Published • 11 -
ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting
Paper • 2410.17856 • Published • 49 -
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Paper • 2410.18558 • Published • 18 -
GPT-4o System Card
Paper • 2410.21276 • Published • 79 -
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
Paper • 2410.21220 • Published • 8 -
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 • 46 -
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Paper • 2410.23266 • Published • 19 -
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 • 48 -
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
Paper • 2411.04923 • Published • 20 -
Analyzing The Language of Visual Tokens
Paper • 2411.05001 • Published • 20 -
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Paper • 2411.06176 • Published • 44 -
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 102 -
Generative World Explorer
Paper • 2411.11844 • Published • 66 -
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
Paper • 2411.10640 • Published • 41 -
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
Paper • 2411.10669 • Published • 9 -
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Paper • 2411.13281 • Published • 17 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 61 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 19 -
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
Paper • 2411.14982 • Published • 13 -
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI
Paper • 2411.14522 • Published • 29