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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
Paper • 2605.20025 • Published • 117 -
OpenComputer: Verifiable Software Worlds for Computer-Use Agents
Paper • 2605.19769 • Published • 56 -
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation
Paper • 2605.10912 • Published • 45 -
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
Paper • 2605.13941 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2605.20025
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MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
Paper • 2603.17187 • Published • 140 -
Attention Residuals
Paper • 2603.15031 • Published • 185 -
MOSS-TTS Technical Report
Paper • 2603.18090 • Published • 13 -
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Paper • 2603.23516 • Published • 50
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StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 57 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
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ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
Paper • 2604.18543 • Published • 30 -
Near-Future Policy Optimization
Paper • 2604.20733 • Published • 76 -
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
Paper • 2604.20987 • Published • 21 -
PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
Paper • 2602.23161 • Published
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Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8
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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
Paper • 2605.20025 • Published • 117 -
OpenComputer: Verifiable Software Worlds for Computer-Use Agents
Paper • 2605.19769 • Published • 56 -
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation
Paper • 2605.10912 • Published • 45 -
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
Paper • 2605.13941 • Published • 24
-
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
Paper • 2604.18543 • Published • 30 -
Near-Future Policy Optimization
Paper • 2604.20733 • Published • 76 -
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
Paper • 2604.20987 • Published • 21 -
PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
Paper • 2602.23161 • Published
-
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
Paper • 2603.17187 • Published • 140 -
Attention Residuals
Paper • 2603.15031 • Published • 185 -
MOSS-TTS Technical Report
Paper • 2603.18090 • Published • 13 -
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Paper • 2603.23516 • Published • 50
-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8
-
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 57 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published