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Collections including paper arxiv:2509.13310

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

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Paper • 2509.13305 • Published Sep 16 • 90
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 102
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents

Paper • 2510.14438 • Published Oct 16 • 13

Useful Resources

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Paper • 2507.15061 • Published Jul 20 • 60
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 • 90

continuous pretraining

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
Mobile-Agent-v3: Foundamental Agents for GUI Automation

Paper • 2508.15144 • Published Aug 21 • 64

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Paper • 2406.04151 • Published Jun 6, 2024 • 24
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 102
Scaling Generalist Data-Analytic Agents

Paper • 2509.25084 • Published Sep 29 • 18
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 265
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 224
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 237
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 224

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 275
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 239
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

FastVLM: Efficient Vision Encoding for Vision Language Models

Paper • 2412.13303 • Published Dec 17, 2024 • 72
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 115
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 103

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

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Paper • 2406.04151 • Published Jun 6, 2024 • 24
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

Paper • 2510.16872 • Published Oct 19 • 102
Scaling Generalist Data-Analytic Agents

Paper • 2509.25084 • Published Sep 29 • 18
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 265
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 224
Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5 • 120

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Paper • 2509.13305 • Published Sep 16 • 90
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Paper • 2510.05592 • Published Oct 7 • 102
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents

Paper • 2510.14438 • Published Oct 16 • 13

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 237
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 224

Useful Resources

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Paper • 2507.15061 • Published Jul 20 • 60
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 • 90

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30 • 275
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 262
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 239
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

continuous pretraining

Scaling Agents via Continual Pre-training

Paper • 2509.13310 • Published Sep 16 • 115
Mobile-Agent-v3: Foundamental Agents for GUI Automation

Paper • 2508.15144 • Published Aug 21 • 64

FastVLM: Efficient Vision Encoding for Vision Language Models

Paper • 2412.13303 • Published Dec 17, 2024 • 72
rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published Aug 28 • 115
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published Aug 22 • 53
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

Paper • 2509.12201 • Published Sep 15 • 103

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