awesome-agent-papers
github.com/luo-junyu/awesome-agent-papers ↗[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
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📚 Resource List🤝 Contributing
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me datasets & benchmarks resources from awesome-agent-papers"
Installation instructions →What's inside
📚 Resource List
- Achilles Heel of Distributed Multi-Agent SystemsDatasets & Benchmarks
- A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and DeploymentSurvey
stack" safety for LLMs, covering the whole lifecycle, with rich literature and unique insights for future research.
- A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic SystemsSurvey
- Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI ProductsSurvey
- Adaptive Collaboration Strategy for LLMs in Medical Decision MakingAgent Collaboration
- Adaptive Graph Pruning: A Task-Adaptive Multi-Agent Collaboration FrameworkAgent Construction
adaptive multi - agent framework jointly optimizing agent quantity and communication topology via a two - stage strategy.
Showing a sample of 350 resources. View the full list on GitHub →