| Gemini 4 Argon: our next era of frontier intelligence |
Blog |
2026-09-30 |
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| Qwen3.8-Omni-Flash: Omni Senses. Agentic Delivery. |
Blog |
2026-09-18 |
- |
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| GPT-6 Astra: A new generation of intelligence |
Blog |
2026-09-04 |
- |
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| Introducing Gemini 3.8 Flash and 3.8 Flash Cyber |
Blog |
2026-09-02 |
- |
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| GLM-5.3-Flash: Frontier Intelligence, Flash Cost |
Zhipu |
2026-08-26 |
Huggingface |
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| DeepSeek-V4-Flash-Vision-Exp |
DeepSeek |
2026-08-21 |
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| Qwen3.8-Max: A New Bar for Coding and Cowork |
Blog |
2026-08-15 |
Huggingface |
Demo |
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| DeepSeek Harness |
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| DeepSeek |
2026-08-13 |
Github |
- |
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| Qwen-MM-Plugins |
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| Qwen |
2026-08-11 |
Github |
- |
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| Kimi K3: Open Frontier Intelligence |
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| Kimi |
2026-07-27 |
Github |
Demo |
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| VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding |
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| arXiv |
2026-07-16 |
Github |
Demo |
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| Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity |
arXiv |
2026-06-30 |
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| Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models |
Blog |
2026-06-15 |
- |
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| Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation |
arXiv |
2026-06-15 |
- |
Demo |
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| OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains |
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| arXiv |
2026-06-12 |
Github |
Demo |
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| Cosmos 3: Omnimodal World Models for Physical AI |
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| arXiv |
2026-06-05 |
Github |
Demo |
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| π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities |
arXiv |
2026-04-24 |
- |
Demo |
| DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence |
DeepSeek |
2026-04-24 |
Huggingface |
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| Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model |
Blog |
2026-04-22 |
Huggingface |
Demo |
| Xiaomi MiMo-V2.5 |
Blog |
2026-04-22 |
- |
Demo |
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| Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding |
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| arXiv |
2026-04-06 |
Github |
Demo |
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| Introducing Muse Spark: Scaling Towards Personal Superintelligence |
Blog |
2026-04-08 |
- |
Demo |
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| VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing |
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| arXiv |
2026-04-03 |
Github |
Local Demo |
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| Gemma 4: Byte for byte, the most capable open models |
Blog |
2026-04-02 |
- |
Demo |
| Qwen3.6-Plus: Towards Real World Agents |
Blog |
2026-04-02 |
- |
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| Qwen3.5-Omni: Scaling Up, Toward Native Omni-Modal AGI |
Blog |
2026-03-30 |
- |
Demo |
| Xiaomi MiMo-V2-Omni |
Blog |
2026-03-18 |
- |
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| InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing |
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| arXiv |
2026-03-10 |
Github |
Local Demo |
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| Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion |
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| arXiv |
2026-03-06 |
Github |
- |
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| Beyond Language Modeling: An Exploration of Multimodal Pretraining |
arXiv |
2026-03-03 |
- |
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| Gemini 3.1 Pro: A smarter model for your most complex tasks |
Blog |
2026-02-19 |
- |
- |
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| Qwen3.5: Towards Native Multimodal Agents |
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| Blog |
2026-02-16 |
Github |
Demo |
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| MiniCPM-o 4.5 |
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| Blog |
2026-02-06 |
Github |
Demo |
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| Kimi K2.5: Visual Agentic Intelligence |
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| arXiv |
2026-02-02 |
Github |
- |
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| DeepSeek-OCR 2: Visual Causal Flow |
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| DeepSeek |
2026-01-27 |
Github |
- |
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| Seed1.8 Model Card: Towards Generalized Real-World Agency |
Bytedance Seed |
2025-12-18 |
- |
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| Introducing GPT-5.2 |
OpenAI |
2025-12-11 |
- |
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| Introducing Mistral 3 |
Blog |
2025-12-02 |
Huggingface |
- |
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| Qwen3-VL Technical Report |
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| arXiv |
2025-11-26 |
Github |
Demo |
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| Emu3.5: Native Multimodal Models are World Learners |
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| arXiv |
2025-10-30 |
Github |
- |
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| VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting |
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| arXiv |
2025-10-21 |
Github |
Local Demo |
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| DeepSeek-OCR: Contexts Optical Compression |
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| arXiv |
2025-10-21 |
Github |
- |
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| OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM |
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| arXiv |
2025-10-17 |
Github |
- |
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| NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching |
arXiv |
2025-10-16 |
- |
- |
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| InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue |
arXiv |
2025-10-15 |
Github |
- |
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| VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation |
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| arXiv |
2025-10-10 |
Github |
- |
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| LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training |
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| arXiv |
2025-10-09 |
Github |
Demo |
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| Qwen3-Omni Technical Report |
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| arXiv |
2025-09-22 |
Github |
Demo |
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| InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency |
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| arXiv |
2025-08-27 |
Github |
Demo |
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| MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and Video Understanding on Your Phone |
- |
2025-08-26 |
Github |
Demo |
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| Thyme: Think Beyond Images |
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| arXiv |
2025-08-18 |
Github |
Demo |
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| Introducing GPT-5 |
OpenAI |
2025-08-07 |
- |
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| dots.vlm1 |
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| rednote-hilab |
2025-08-06 |
Github |
Demo |
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| Step3: Cost-Effective Multimodal Intelligence |
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| StepFun |
2025-07-31 |
Github |
Demo |
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| GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning |
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| arXiv |
2025-07-02 |
Github |
Demo |
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| DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World |
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| arXiv |
2025-06-30 |
Github |
- |
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| Qwen VLo: From "Understanding" the World to "Depicting" It |
Qwen |
2025-06-26 |
- |
Demo |
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| MMSearch-R1: Incentivizing LMMs to Search |
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| arXiv |
2025-06-25 |
Github |
- |
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| Show-o2: Improved Native Unified Multimodal Models |
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| arXiv |
2025-06-18 |
Github |
- |
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| Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities |
Google |
2025-06-17 |
- |
- |
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| Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning |
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| arXiv |
2025-06-16 |
Github |
- |
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| MiMo-VL Technical Report |
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| arXiv |
2025-06-04 |
Github |
- |
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| OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation |
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| arXiv |
2025-05-29 |
Github |
- |
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| Emerging Properties in Unified Multimodal Pretraining |
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| arXiv |
2025-05-23 |
Github |
Demo |
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| MMaDA: Multimodal Large Diffusion Language Models |
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| arXiv |
2025-05-21 |
Github |
Demo |
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| UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation |
arXiv |
2025-05-20 |
- |
- |
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| BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset |
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| arXiv |
2025-05-14 |
Github |
Local Demo |
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| Seed1.5-VL Technical Report |
arXiv |
2025-05-11 |
- |
- |
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| Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models |
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| arXiv |
2025-05-08 |
Github |
- |
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| VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model |
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| arXiv |
2025-05-06 |
Github |
Local Demo |
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| Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning |
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| arXiv |
2025-04-23 |
Github |
- |
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| Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models |
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| arXiv |
2025-04-21 |
Github |
- |
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| An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes |
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| arXiv |
2025-04-21 |
Github |
- |
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| InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models |
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| arXiv |
2025-04-14 |
Github |
Demo |
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| Introducing GPT-4.1 in the API |
OpenAI |
2025-04-14 |
- |
- |
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| Kimi-VL Technical Report |
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| arXiv |
2025-04-10 |
Github |
Demo |
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| The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation |
Meta |
2025-04-05 |
Hugging Face |
- |
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| Qwen2.5-Omni Technical Report |
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| Qwen |
2025-03-26 |
Github |
Demo |
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| Addendum to GPT-4o System Card: Native image generation |
OpenAI |
2025-03-25 |
- |
- |
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| Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation |
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| arXiv |
2025-03-17 |
Github |
- |
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| Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision |
arXiv |
2025-03-07 |
- |
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| Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs |
arXiv |
2025-03-03 |
Hugging Face |
Demo |
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| Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray |
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| arXiv |
2025-02-19 |
Github |
- |
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| Qwen2.5-VL Technical Report |
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| arXiv |
2025-02-19 |
Github |
Demo |
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| Baichuan-Omni-1.5 Technical Report |
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| Tech Report |
2025-01-26 |
Github |
Local Demo |
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| LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs |
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| arXiv |
2025-01-10 |
Github |
- |
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| VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction |
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| arXiv |
2025-01-03 |
Github |
- |
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| QVQ: To See the World with Wisdom |
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| Qwen |
2024-12-25 |
Github |
Demo |
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| DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding |
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| arXiv |
2024-12-13 |
Github |
- |
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| Apollo: An Exploration of Video Understanding in Large Multimodal Models |
arXiv |
2024-12-13 |
- |
- |
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| InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions |
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| arXiv |
2024-12-12 |
Github |
Local Demo |
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| StreamChat: Chatting with Streaming Video |
arXiv |
2024-12-11 |
Coming soon |
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| CompCap: Improving Multimodal Large Language Models with Composite Captions |
arXiv |
2024-12-06 |
- |
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| LinVT: Empower Your Image-level Large Language Model to Understand Videos |
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| arXiv |
2024-12-06 |
Github |
- |
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| Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling |
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| arXiv |
2024-12-06 |
Github |
Demo |
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| NVILA: Efficient Frontier Visual Language Models |
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| arXiv |
2024-12-05 |
Github |
Demo |
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| Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning |
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| arXiv |
2024-12-04 |
Github |
- |
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| TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability |
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| arXiv |
2024-11-27 |
Github |
- |
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| ChatRex: Taming Multimodal LLM for Joint Perception and Understanding |
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| arXiv |
2024-11-27 |
Github |
Local Demo |
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| LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding |
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| arXiv |
2024-10-22 |
Github |
Demo |
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| Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate |
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| arXiv |
2024-10-09 |
Github |
- |
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| AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark |
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| arXiv |
2024-10-04 |
Github |
Local Demo |
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| EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions |
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| CVPR |
2024-09-26 |
Github |
Demo |
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| Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models |
arXiv |
2024-09-25 |
Huggingface |
Demo |
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| Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution |
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| arXiv |
2024-09-18 |
Github |
Demo |
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| ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding |
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| ICLR |
2024-09-05 |
Github |
Local Demo |
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| LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture |
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| arXiv |
2024-09-04 |
Github |
- |
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| EAGLE: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders |
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| arXiv |
2024-08-28 |
Github |
Demo |
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| LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation |
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| arXiv |
2024-08-28 |
Github |
- |
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| mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models |
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| arXiv |
2024-08-09 |
Github |
- |
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| VITA: Towards Open-Source Interactive Omni Multimodal LLM |
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| arXiv |
2024-08-09 |
Github |
- |
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| LLaVA-OneVision: Easy Visual Task Transfer |
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| arXiv |
2024-08-06 |
Github |
Demo |
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| MiniCPM-V: A GPT-4V Level MLLM on Your Phone |
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| arXiv |
2024-08-03 |
Github |
Demo |
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| VILA^2: VILA Augmented VILA |
arXiv |
2024-07-24 |
- |
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| SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models |
arXiv |
2024-07-22 |
- |
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| EVLM: An Efficient Vision-Language Model for Visual Understanding |
arXiv |
2024-07-19 |
- |
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| IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model |
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| arXiv |
2024-07-10 |
Github |
- |
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| InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output |
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| arXiv |
2024-07-03 |
Github |
Demo |
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| OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding |
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| arXiv |
2024-06-27 |
Github |
Local Demo |
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| DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming |
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| AAAI |
2024-06-27 |
Github |
- |
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| Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs |
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| arXiv |
2024-06-24 |
Github |
Local Demo |
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| Long Context Transfer from Language to Vision |
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| arXiv |
2024-06-24 |
Github |
Local Demo |
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| video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models |
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| ICML |
2024-06-22 |
Github |
- |
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| TroL: Traversal of Layers for Large Language and Vision Models |
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| EMNLP |
2024-06-18 |
Github |
Local Demo |
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| Unveiling Encoder-Free Vision-Language Models |
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| arXiv |
2024-06-17 |
Github |
Local Demo |
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| VideoLLM-online: Online Video Large Language Model for Streaming Video |
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| CVPR |
2024-06-17 |
Github |
Local Demo |
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| RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics |
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| CoRL |
2024-06-15 |
Github |
Demo |
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| Comparison Visual Instruction Tuning |
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| arXiv |
2024-06-13 |
Github |
Local Demo |
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| Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models |
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| arXiv |
2024-06-12 |
Github |
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| VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs |
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| arXiv |
2024-06-11 |
Github |
Local Demo |
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| Parrot: Multilingual Visual Instruction Tuning |
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| arXiv |
2024-06-04 |
Github |
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| Ovis: Structural Embedding Alignment for Multimodal Large Language Model |
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| arXiv |
2024-05-31 |
Github |
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| Matryoshka Query Transformer for Large Vision-Language Models |
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| arXiv |
2024-05-29 |
Github |
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| ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models |
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| arXiv |
2024-05-24 |
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| Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models |
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| arXiv |
2024-05-24 |
Github |
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| Libra: Building Decoupled Vision System on Large Language Models |
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| ICML |
2024-05-16 |
Github |
Local Demo |
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| CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts |
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| arXiv |
2024-05-09 |
Github |
Local Demo |
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| How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites |
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| arXiv |
2024-04-25 |
Github |
Demo |
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| Graphic Design with Large Multimodal Model |
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| arXiv |
2024-04-22 |
Github |
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| BRAVE: Broadening the visual encoding of vision-language models |
ECCV |
2024-04-10 |
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| InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD |
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| arXiv |
2024-04-09 |
Github |
Demo |
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| Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs |
arXiv |
2024-04-08 |
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| MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding |
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| CVPR |
2024-04-08 |
Github |
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| VITRON: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing |
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| NeurIPS |
2024-04-04 |
Github |
Local Demo |
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| TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model |
ACM TKDD |
2024-03-28 |
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| LITA: Language Instructed Temporal-Localization Assistant |
arXiv |
2024-03-27 |
Github |
Local Demo |
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| Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models |
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| arXiv |
2024-03-27 |
Github |
Demo |
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| MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training |
arXiv |
2024-03-14 |
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| MoAI: Mixture of All Intelligence for Large Language and Vision Models |
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| arXiv |
2024-03-12 |
Github |
Local Demo |
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| DeepSeek-VL: Towards Real-World Vision-Language Understanding |
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| arXiv |
2024-03-08 |
Github |
Demo |
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| TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document |
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| arXiv |
2024-03-07 |
Github |
Demo |
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| The All-Seeing Project V2: Towards General Relation Comprehension of the Open World |
arXiv |
2024-02-29 |
Github |
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| GROUNDHOG: Grounding Large Language Models to Holistic Segmentation |
CVPR |
2024-02-26 |
Coming soon |
Coming soon |
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| AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling |
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| arXiv |
2024-02-19 |
Github |
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| Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning |
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| arXiv |
2024-02-18 |
Github |
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| ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model |
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| arXiv |
2024-02-18 |
Github |
Demo |
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| CoLLaVO: Crayon Large Language and Vision mOdel |
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| arXiv |
2024-02-17 |
Github |
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| Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models |
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| ICML |
2024-02-12 |
Github |
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| CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations |
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| arXiv |
2024-02-06 |
Github |
- |
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| MobileVLM V2: Faster and Stronger Baseline for Vision Language Model |
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| arXiv |
2024-02-06 |
Github |
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| GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning |
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| NeurIPS |
2024-02-03 |
Github |
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| Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study |
arXiv |
2024-01-31 |
Coming soon |
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| LLaVA-NeXT: Improved reasoning, OCR, and world knowledge |
Blog |
2024-01-30 |
Github |
Demo |
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| MoE-LLaVA: Mixture of Experts for Large Vision-Language Models |
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| arXiv |
2024-01-29 |
Github |
Demo |
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| InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model |
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| arXiv |
2024-01-29 |
Github |
Demo |
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| Yi-VL |
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| - |
2024-01-23 |
Github |
Local Demo |
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| SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities |
arXiv |
2024-01-22 |
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| ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning |
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| ACL |
2024-01-04 |
Github |
Local Demo |
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| MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices |
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| arXiv |
2023-12-28 |
Github |
- |
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| InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks |
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| CVPR |
2023-12-21 |
Github |
Demo |
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| Osprey: Pixel Understanding with Visual Instruction Tuning |
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| CVPR |
2023-12-15 |
Github |
Demo |
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| CogAgent: A Visual Language Model for GUI Agents |
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| arXiv |
2023-12-14 |
Github |
Coming soon |
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| Pixel Aligned Language Models |
arXiv |
2023-12-14 |
Coming soon |
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| VILA: On Pre-training for Visual Language Models |
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| CVPR |
2023-12-13 |
Github |
Local Demo |
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| See, Say, and Segment: Teaching LMMs to Overcome False Premises |
arXiv |
2023-12-13 |
Coming soon |
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| Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models |
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| ECCV |
2023-12-11 |
Github |
Demo |
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| Honeybee: Locality-enhanced Projector for Multimodal LLM |
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| CVPR |
2023-12-11 |
Github |
- |
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| Gemini: A Family of Highly Capable Multimodal Models |
Google |
2023-12-06 |
- |
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| OneLLM: One Framework to Align All Modalities with Language |
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| arXiv |
2023-12-06 |
Github |
Demo |
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| Lenna: Language Enhanced Reasoning Detection Assistant |
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| arXiv |
2023-12-05 |
Github |
- |
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| VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding |
arXiv |
2023-12-04 |
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| TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding |
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| arXiv |
2023-12-04 |
Github |
Local Demo |
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| Making Large Multimodal Models Understand Arbitrary Visual Prompts |
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| CVPR |
2023-12-01 |
Github |
Demo |
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| Dolphins: Multimodal Language Model for Driving |
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| arXiv |
2023-12-01 |
Github |
- |
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| LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning |
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| arXiv |
2023-11-30 |
Github |
Coming soon |
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| VTimeLLM: Empower LLM to Grasp Video Moments |
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| arXiv |
2023-11-30 |
Github |
Local Demo |
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| mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model |
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| arXiv |
2023-11-30 |
Github |
- |
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| LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models |
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| arXiv |
2023-11-28 |
Github |
Coming soon |
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| LLMGA: Multimodal Large Language Model based Generation Assistant |
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| arXiv |
2023-11-27 |
Github |
Demo |
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| ChartLlama: A Multimodal LLM for Chart Understanding and Generation |
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| arXiv |
2023-11-27 |
Github |
- |
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| ShareGPT4V: Improving Large Multi-Modal Models with Better Captions |
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| arXiv |
2023-11-21 |
Github |
Demo |
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| LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge |
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| arXiv |
2023-11-20 |
Github |
- |
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| An Embodied Generalist Agent in 3D World |
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| arXiv |
2023-11-18 |
Github |
Demo |
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| Video-LLaVA: Learning United Visual Representation by Alignment Before Projection |
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| arXiv |
2023-11-16 |
Github |
Demo |
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| Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding |
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| CVPR |
2023-11-14 |
Github |
- |
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| To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning |
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| arXiv |
2023-11-13 |
Github |
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| SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models |
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| arXiv |
2023-11-13 |
Github |
Demo |
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| Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models |
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| CVPR |
2023-11-11 |
Github |
Demo |
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| LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents |
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| arXiv |
2023-11-09 |
Github |
Demo |
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| NExT-Chat: An LMM for Chat, Detection and Segmentation |
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| arXiv |
2023-11-08 |
Github |
Local Demo |
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| mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration |
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| arXiv |
2023-11-07 |
Github |
Demo |
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| OtterHD: A High-Resolution Multi-modality Model |
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| arXiv |
2023-11-07 |
Github |
- |
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| CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding |
arXiv |
2023-11-06 |
Coming soon |
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| GLaMM: Pixel Grounding Large Multimodal Model |
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| CVPR |
2023-11-06 |
Github |
Demo |
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| What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning |
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| arXiv |
2023-11-02 |
Github |
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| MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning |
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| arXiv |
2023-10-14 |
Github |
Local Demo |
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| SALMONN: Towards Generic Hearing Abilities for Large Language Models |
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| ICLR |
2023-10-20 |
Github |
- |
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| Ferret: Refer and Ground Anything Anywhere at Any Granularity |
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| arXiv |
2023-10-11 |
Github |
- |
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| CogVLM: Visual Expert For Large Language Models |
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| arXiv |
2023-10-09 |
Github |
Demo |
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| Improved Baselines with Visual Instruction Tuning |
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| arXiv |
2023-10-05 |
Github |
Demo |
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| LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment |
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| ICLR |
2023-10-03 |
Github |
Demo |
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| Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs |
arXiv |
2023-10-01 |
Github |
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| Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants |
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| arXiv |
2023-10-01 |
Github |
Local Demo |
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| AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model |
arXiv |
2023-09-27 |
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| InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition |
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| arXiv |
2023-09-26 |
Github |
Local Demo |
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| DreamLLM: Synergistic Multimodal Comprehension and Creation |
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| ICLR |
2023-09-20 |
Github |
Coming soon |
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| An Empirical Study of Scaling Instruction-Tuned Large Multimodal Models |
arXiv |
2023-09-18 |
Coming soon |
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| TextBind: Multi-turn Interleaved Multimodal Instruction-following |
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| arXiv |
2023-09-14 |
Github |
Demo |
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| NExT-GPT: Any-to-Any Multimodal LLM |
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| arXiv |
2023-09-11 |
Github |
Demo |
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| Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics |
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| arXiv |
2023-09-13 |
Github |
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| ImageBind-LLM: Multi-modality Instruction Tuning |
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| arXiv |
2023-09-07 |
Github |
Demo |
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| Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning |
arXiv |
2023-09-05 |
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| PointLLM: Empowering Large Language Models to Understand Point Clouds |
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| arXiv |
2023-08-31 |
Github |
Demo |
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| ✨Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models |
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| arXiv |
2023-08-31 |
Github |
Local Demo |
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| MLLM-DataEngine: An Iterative Refinement Approach for MLLM |
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| arXiv |
2023-08-25 |
Github |
- |
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| Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models |
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| arXiv |
2023-08-25 |
Github |
Demo |
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| Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities |
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| arXiv |
2023-08-24 |
Github |
Demo |
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| Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages |
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| ICLR |
2023-08-23 |
Github |
Demo |
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| StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data |
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| arXiv |
2023-08-20 |
Github |
- |
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| BLIVA: A Simple Multimodal LLM for Better Handling of Text-rich Visual Questions |
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| arXiv |
2023-08-19 |
Github |
Demo |
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| Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions |
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| arXiv |
2023-08-08 |
Github |
- |
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| The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World |
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| ICLR |
2023-08-03 |
Github |
Demo |
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| LISA: Reasoning Segmentation via Large Language Model |
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| arXiv |
2023-08-01 |
Github |
Demo |
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| MovieChat: From Dense Token to Sparse Memory for Long Video Understanding |
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| arXiv |
2023-07-31 |
Github |
Local Demo |
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| 3D-LLM: Injecting the 3D World into Large Language Models |
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| arXiv |
2023-07-24 |
Github |
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| ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning |
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| arXiv |
2023-07-18 |
- |
Demo |
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| BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs |
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| arXiv |
2023-07-17 |
Github |
Demo |
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| SVIT: Scaling up Visual Instruction Tuning |
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| arXiv |
2023-07-09 |
Github |
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| GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest |
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| arXiv |
2023-07-07 |
Github |
Demo |
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| What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? |
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| arXiv |
2023-07-05 |
Github |
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| mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding |
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| arXiv |
2023-07-04 |
Github |
Demo |
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| Visual Instruction Tuning with Polite Flamingo |
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| arXiv |
2023-07-03 |
Github |
Demo |
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| LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding |
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| arXiv |
2023-06-29 |
Github |
Demo |
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| Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic |
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| arXiv |
2023-06-27 |
Github |
Demo |
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| MotionGPT: Human Motion as a Foreign Language |
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| arXiv |
2023-06-26 |
Github |
- |
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| Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration |
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| arXiv |
2023-06-15 |
Github |
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| LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark |
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| arXiv |
2023-06-11 |
Github |
Demo |
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| Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models |
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| arXiv |
2023-06-08 |
Github |
Demo |
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| MIMIC-IT: Multi-Modal In-Context Instruction Tuning |
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| arXiv |
2023-06-08 |
Github |
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| M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning |
arXiv |
2023-06-07 |
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| Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding |
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| arXiv |
2023-06-05 |
Github |
Demo |
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| LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day |
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| arXiv |
2023-06-01 |
Github |
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| GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction |
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| arXiv |
2023-05-30 |
Github |
Demo |
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| PandaGPT: One Model To Instruction-Follow Them All |
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| arXiv |
2023-05-25 |
Github |
Demo |
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| ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst |
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| arXiv |
2023-05-25 |
Github |
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| Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models |
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| arXiv |
2023-05-24 |
Github |
Local Demo |
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| DetGPT: Detect What You Need via Reasoning |
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| arXiv |
2023-05-23 |
Github |
Demo |
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| Pengi: An Audio Language Model for Audio Tasks |
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| NeurIPS |
2023-05-19 |
Github |
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| VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks |
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| arXiv |
2023-05-18 |
Github |
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| Listen, Think, and Understand |
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| arXiv |
2023-05-18 |
Github |
Demo |
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| VisualGLM-6B |
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| - |
2023-05-17 |
Github |
Local Demo |
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| PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering |
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| arXiv |
2023-05-17 |
Github |
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| InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning |
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| arXiv |
2023-05-11 |
Github |
Local Demo |
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| VideoChat: Chat-Centric Video Understanding |
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| arXiv |
2023-05-10 |
Github |
Demo |
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| MultiModal-GPT: A Vision and Language Model for Dialogue with Humans |
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| arXiv |
2023-05-08 |
Github |
Demo |
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| X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages |
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| arXiv |
2023-05-07 |
Github |
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| LMEye: An Interactive Perception Network for Large Language Models |
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| arXiv |
2023-05-05 |
Github |
Local Demo |
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| LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model |
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| arXiv |
2023-04-28 |
Github |
Demo |
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| mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality |
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| arXiv |
2023-04-27 |
Github |
Demo |
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| MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models |
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| arXiv |
2023-04-20 |
Github |
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| Visual Instruction Tuning |
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| NeurIPS |
2023-04-17 |
GitHub |
Demo |
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| LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention |
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| ICLR |
2023-03-28 |
Github |
Demo |
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| MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning |
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| ACL |
2022-12-21 |
Github |
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