-
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 13 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 32 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 132 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 120
Collections
Discover the best community collections!
Collections including paper arxiv:2510.05592
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 74 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 102 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 483 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 483 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 102 -
alana89/TabSTAR
Tabular Classification • 47.3M • Updated • 34.9k • 20 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 37.9k • 1.33k
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 13 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 32 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 132 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 120
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 74 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 102 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 483 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 30
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 483 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 102 -
alana89/TabSTAR
Tabular Classification • 47.3M • Updated • 34.9k • 20 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 37.9k • 1.33k