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Collections including paper arXiv:2508.09983

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

Visual Storytelling

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
Cut2Next: Generating Next Shot via In-Context Tuning

Paper • 2508.08244 • Published Aug 11 • 13
EchoShot: Multi-Shot Portrait Video Generation

Paper • 2506.15838 • Published Jun 16

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9 • 50
Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Paper • 2503.01710 • Published Mar 3 • 6
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

Paper • 2507.21809 • Published Jul 29 • 131

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 6.27k • 52
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 126

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal

Paper • 2508.05988 • Published Aug 8 • 19
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 97
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Reinforcement Learning in Vision: A Survey

Paper • 2508.08189 • Published Aug 11 • 29

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

Efficient Agents: Building Effective Agents While Reducing Cost

Paper • 2508.02694 • Published Jul 24 • 85
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Paper • 2508.09736 • Published Aug 13 • 56
Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

Paper • 2508.14111 • Published Aug 18 • 33

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 300
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

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

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

Visual Storytelling

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal

Paper • 2508.05988 • Published Aug 8 • 19
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 97
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Reinforcement Learning in Vision: A Survey

Paper • 2508.08189 • Published Aug 11 • 29

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
Cut2Next: Generating Next Shot via In-Context Tuning

Paper • 2508.08244 • Published Aug 11 • 13
EchoShot: Multi-Shot Portrait Video Generation

Paper • 2506.15838 • Published Jun 16

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9 • 50
Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Paper • 2503.01710 • Published Mar 3 • 6
HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

Paper • 2507.21809 • Published Jul 29 • 131

Efficient Agents: Building Effective Agents While Reducing Cost

Paper • 2508.02694 • Published Jul 24 • 85
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Paper • 2508.09736 • Published Aug 13 • 56
Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Paper • 2508.09983 • Published Aug 13 • 68
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

Paper • 2508.14111 • Published Aug 18 • 33

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29 • 6.27k • 52
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 274
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19 • 126

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 300
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

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