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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 14 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121
Collections
Discover the best community collections!
Collections including paper arxiv:2510.05592
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Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 493 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 493 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
alana89/TabSTAR
Tabular Classification • 47.3M • Updated • 23.9k • 20 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k
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Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117 -
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Paper • 2509.13305 • Published • 91 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
Paper • 2510.14438 • Published • 13
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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 14 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 493 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 493 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
alana89/TabSTAR
Tabular Classification • 47.3M • Updated • 23.9k • 20 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k
-
Scaling Agents via Continual Pre-training
Paper • 2509.13310 • Published • 117 -
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Paper • 2509.13305 • Published • 91 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 105 -
Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
Paper • 2510.14438 • Published • 13