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Collections including paper arxiv:2509.17765

Running

174

174

Qwen3 Omni Demo

⚡

Interact with a multimodal chatbot using text, audio, images, or video
Running

45

45

Qwen3 Omni Captioner Demo

🐠

Generate captions from audio
Qwen/Qwen3-Omni-30B-A3B-Captioner

Any-to-Any • 32B • Updated Sep 22 • 35.4k • 164
Qwen/Qwen3-Omni-30B-A3B-Instruct

Any-to-Any • 35B • Updated Sep 22 • 389k • 684

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

about 1 month ago

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 233
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 218
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

LIMI: Less is More for Agency

Paper • 2509.17567 • Published Sep 22 • 100
Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22 • 132
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Paper • 2509.17437 • Published Sep 22 • 17
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering

Paper • 2509.17396 • Published Sep 22 • 19

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Useful Resources

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Paper • 2507.15061 • Published Jul 20 • 59
WebDancer: Towards Autonomous Information Seeking Agency

Paper • 2505.22648 • Published May 28 • 33
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Paper • 2509.13313 • Published Sep 16 • 78
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Paper • 2509.13305 • Published Sep 16 • 88

Technical Reports

Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22 • 132

Visual Representation Alignment for Multimodal Large Language Models

Paper • 2509.07979 • Published Sep 9 • 82
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Paper • 2509.05263 • Published Sep 5 • 10
Symbolic Graphics Programming with Large Language Models

Paper • 2509.05208 • Published Sep 5 • 45
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 103

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 186
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 63
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

Running

174

174

Qwen3 Omni Demo

⚡

Interact with a multimodal chatbot using text, audio, images, or video
Running

45

45

Qwen3 Omni Captioner Demo

🐠

Generate captions from audio
Qwen/Qwen3-Omni-30B-A3B-Captioner

Any-to-Any • 32B • Updated Sep 22 • 35.4k • 164
Qwen/Qwen3-Omni-30B-A3B-Instruct

Any-to-Any • 35B • Updated Sep 22 • 389k • 684

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

Useful Resources

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Paper • 2507.15061 • Published Jul 20 • 59
WebDancer: Towards Autonomous Information Seeking Agency

Paper • 2505.22648 • Published May 28 • 33
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Paper • 2509.13313 • Published Sep 16 • 78
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Paper • 2509.13305 • Published Sep 16 • 88

about 1 month ago

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 233
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 208
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 218
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 189

Technical Reports

Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22 • 132

LIMI: Less is More for Agency

Paper • 2509.17567 • Published Sep 22 • 100
Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22 • 132
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Paper • 2509.17437 • Published Sep 22 • 17
EpiCache: Episodic KV Cache Management for Long Conversational Question Answering

Paper • 2509.17396 • Published Sep 22 • 19

Visual Representation Alignment for Multimodal Large Language Models

Paper • 2509.07979 • Published Sep 9 • 82
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Paper • 2509.05263 • Published Sep 5 • 10
Symbolic Graphics Programming with Large Language Models

Paper • 2509.05208 • Published Sep 5 • 45
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 103

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 186
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 236
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 63
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Paper • 2507.20984 • Published Jul 28 • 56

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