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@Liu-Hy Liu-Hy commented Oct 14, 2025

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

  1. Awesome-AgenticLLM-RL-Papers - A comprehensive survey on agentic reinforcement learning for LLMs (arXiv:2509.02547)
  2. CoMAS - Co-evolving multi-agent systems via interaction rewards (arXiv:2510.08529)
  3. Achilles Heel of DMAS - Study on trustworthiness challenges in distributed multi-agent systems (arXiv:2504.07461)

Medical Field Section

  1. GenoTEX - LLM agent benchmark for automated gene expression analysis, accepted as Oral paper at MLCB 2025 (arXiv:2406.15341, Code, Website)
  2. GenoMAS - Multi-agent framework for scientific discovery via genomic data analysis (arXiv:2507.21035, Code, Website)

Academic Field Section

  1. 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!

- Added 3 papers to Multi-Agent Collaboration section:
  * Awesome-AgenticLLM-RL-Papers survey on agentic RL for LLMs
  * CoMAS: Co-Evolving Multi-Agent Systems framework
  * Achilles Heel of Distributed Multi-Agent Systems study

- Added 2 genomics papers to Medical Field section:
  * GenoTEX: LLM agent benchmark for gene expression analysis (MLCB 2025 Oral)
  * GenoMAS: Multi-agent framework for genomic data analysis

- Added 1 paper to Academic Field section:
  * aiXiv: Open-access platform for AI-generated scientific research

All papers include arXiv links, GitHub repositories where available, and concise descriptions following the repository's style conventions.
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