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Collections including paper arxiv:2409.12191

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
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

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published Apr 1 • 95
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 78

The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 78
Multimodal Latent Language Modeling with Next-Token Diffusion

Paper • 2412.08635 • Published Dec 11, 2024 • 48
AIDC-AI/Ovis2-2B

Image-Text-to-Text • 2B • Updated Aug 15 • 3.12k • 59
DAMO-NLP-SG/VideoLLaMA3-2B

Video-Text-to-Text • 2B • Updated Sep 3 • 4.46k • 15

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

Source Papers of LLM Giants

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Paper • 2311.07919 • Published Nov 14, 2023 • 10
Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
Qwen2-Audio Technical Report

Paper • 2407.10759 • Published Jul 15, 2024 • 63

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Paper • 2502.09620 • Published Feb 13 • 26
The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5

Running

2.98k

AnyCoder

🏆

2.98k

Generate code with AI
Running

Featured

274

Qwen2.5 Coder Artifacts

🐢

274

Generate code snippets based on user input
Running

Featured

922

QwQ-32B-Preview

🔍

922

QwQ-32B-Preview
Running on CPU Upgrade

13.7k

Open LLM Leaderboard

🏆

13.7k

Track, rank and evaluate open LLMs and chatbots

MIT Talk 31/10 Papers

NVLM: Open Frontier-Class Multimodal LLMs

Paper • 2409.11402 • Published Sep 17, 2024 • 74
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10, 2024 • 19
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27, 2024 • 47
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 121

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
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

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published Apr 1 • 95
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 78

Source Papers of LLM Giants

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Paper • 2311.07919 • Published Nov 14, 2023 • 10
Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
Qwen2-Audio Technical Report

Paper • 2407.10759 • Published Jul 15, 2024 • 63

The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Paper • 2502.09620 • Published Feb 13 • 26
The Evolution of Multimodal Model Architectures

Paper • 2405.17927 • Published May 28, 2024 • 1
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103
Efficient Architectures for High Resolution Vision-Language Models

Paper • 2501.02584 • Published Jan 5

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

Running

2.98k

AnyCoder

🏆

2.98k

Generate code with AI
Running

Featured

274

Qwen2.5 Coder Artifacts

🐢

274

Generate code snippets based on user input
Running

Featured

922

QwQ-32B-Preview

🔍

922

QwQ-32B-Preview
Running on CPU Upgrade

13.7k

Open LLM Leaderboard

🏆

13.7k

Track, rank and evaluate open LLMs and chatbots

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Paper • 2409.12191 • Published Sep 18, 2024 • 78
Multimodal Latent Language Modeling with Next-Token Diffusion

Paper • 2412.08635 • Published Dec 11, 2024 • 48
AIDC-AI/Ovis2-2B

Image-Text-to-Text • 2B • Updated Aug 15 • 3.12k • 59
DAMO-NLP-SG/VideoLLaMA3-2B

Video-Text-to-Text • 2B • Updated Sep 3 • 4.46k • 15

MIT Talk 31/10 Papers

NVLM: Open Frontier-Class Multimodal LLMs

Paper • 2409.11402 • Published Sep 17, 2024 • 74
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10, 2024 • 19
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27, 2024 • 47
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 121

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