awesome-llm-and-aigc
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Add Six LLM Agent Research Papers
Thank you for maintaining this excellent resource for the community. In this PR, we request to add six recent research papers on LLM-based agents from our lab that are relevant to this repository.
Papers Added
Multi-Agent Collaboration Section
- Awesome-AgenticLLM-RL-Papers - A comprehensive survey on agentic reinforcement learning for LLMs (arXiv:2509.02547)
- CoMAS - Co-evolving multi-agent systems via interaction rewards (arXiv:2510.08529)
- Achilles Heel of DMAS - Study on trustworthiness challenges in distributed multi-agent systems (arXiv:2504.07461)
Medical Field Section
- GenoTEX - LLM agent benchmark for automated gene expression analysis, accepted as Oral paper at MLCB 2025 (arXiv:2406.15341, Code, Website)
- GenoMAS - Multi-agent framework for scientific discovery via genomic data analysis (arXiv:2507.21035, Code, Website)
Academic Field Section
- aiXiv - Next-generation open-access ecosystem for AI-generated scientific research (arXiv:2508.15126, Code, Beta Waitlist)
Details
- All entries follow the existing formatting conventions of the repository
- GitHub star badges are included where applicable
- arXiv links and publication venues are properly cited
- Project websites and code repositories are linked when available
- Descriptions are kept concise and consistent with the repository's style
These papers cover important topics in LLM-based agents, multi-agent systems, and applications to scientific research and biomedicine, which align well with the scope of this awesome list.
Thank you for considering our request!