Add six LLM-based agent papers

[Liu-Hy]

Thank you for maintaining this excellent resource for the community. In this PR, we request to add six LLM-based agent papers from our research lab that are highly relevant to this repository.

Papers Added:

1. The Landscape of Agentic Reinforcement Learning for LLMs: A Survey (arXiv:2509.02547)

   • Section: Survey
   • Links: Paper | Code
   • A comprehensive survey on agentic reinforcement learning approaches for LLMs

2. GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis (arXiv:2406.15341)

   • Section: Biology
   • Links: Paper | Code
   • Accepted as Oral paper at MLCB 2025
   • A benchmark for evaluating LLM agents on gene expression analysis tasks

3. GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis (arXiv:2507.21035)

   • Section: Biology
   • Links: Paper | Code
   • Multi-agent system for automated gene expression analysis

4. aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists (arXiv:2508.15126)

   • Section: Research
   • Links: Paper | Code
   • Platform enabling AI-powered scientific research and peer review

5. CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards (arXiv:2510.08529)

   • Section: Multi-Agent System
   • Links: Paper
   • Novel approach to multi-agent system evolution through interaction-based rewards

6. Achilles Heel of Distributed Multi-Agent Systems (arXiv:2504.07461)

   • Section: Multi-Agent System
   • Links: Paper
   • Analysis of trustworthiness challenges in distributed multi-agent systems

Changes Made:

• All entries follow the existing format and style of the repository
• Papers are placed in chronological order within their respective sections
• Code repositories are linked where available
• All papers are directly related to LLM-based agents

Thank you for considering our request!