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Collections including paper arxiv:2508.05547

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

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 8.19k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 139 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Multimodal Analysis

Analyzing The Language of Visual Tokens

Paper • 2411.05001 • Published Nov 7, 2024 • 24
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 19
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration

Paper • 2411.17686 • Published Nov 26, 2024 • 20
On the Limitations of Vision-Language Models in Understanding Image Transforms

Paper • 2503.09837 • Published Mar 12 • 10

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
SSRL: Self-Search Reinforcement Learning

Paper • 2508.10874 • Published Aug 14 • 97
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation

Paper • 2508.12040 • Published Aug 16 • 14

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Paper • 2505.04921 • Published May 8 • 186
On Path to Multimodal Generalist: General-Level and General-Bench

Paper • 2505.04620 • Published May 7 • 82
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Paper • 2505.05467 • Published May 8 • 14
Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11

Image-Text Alignment

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Paper • 2502.05178 • Published Feb 7 • 10
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation

Paper • 2502.14846 • Published Feb 20 • 14
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Paper • 2502.14786 • Published Feb 20 • 155
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features

Paper • 2504.00557 • Published Apr 1 • 15

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Paper • 2311.12631 • Published Nov 21, 2023 • 15
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Paper • 2506.23219 • Published Jun 29 • 7

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

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Paper • 2508.10751 • Published Aug 14 • 28
SSRL: Self-Search Reinforcement Learning

Paper • 2508.10874 • Published Aug 14 • 97
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation

Paper • 2508.12040 • Published Aug 16 • 14

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

Paper • 2505.04921 • Published May 8 • 186
On Path to Multimodal Generalist: General-Level and General-Bench

Paper • 2505.04620 • Published May 7 • 82
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Paper • 2505.05467 • Published May 8 • 14
Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Paper • 2508.05547 • Published Aug 7 • 11

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 8.19k • 1.23k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 139 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

Image-Text Alignment

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Paper • 2502.05178 • Published Feb 7 • 10
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation

Paper • 2502.14846 • Published Feb 20 • 14
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Paper • 2502.14786 • Published Feb 20 • 155
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features

Paper • 2504.00557 • Published Apr 1 • 15

Multimodal Analysis

Analyzing The Language of Visual Tokens

Paper • 2411.05001 • Published Nov 7, 2024 • 24
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 19
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration

Paper • 2411.17686 • Published Nov 26, 2024 • 20
On the Limitations of Vision-Language Models in Understanding Image Transforms

Paper • 2503.09837 • Published Mar 12 • 10

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Paper • 2311.12631 • Published Nov 21, 2023 • 15
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step

Paper • 2504.01956 • Published Apr 2 • 41
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding

Paper • 2506.23219 • Published Jun 29 • 7

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