Add six recent LLM agent papers on scientific discovery, multi-agent systems, and agentic RL

[Liu-Hy]

Thank you for maintaining this excellent resource for the research community. In this PR, we request to add six recent papers on LLM-powered agents from our lab:

Papers Added

Scientific Discovery and AI4Science

1. GenoTEX (MLCB 2025 Oral): An LLM agent benchmark for automated gene expression data analysis
2. GenoMAS: A multi-agent framework for scientific discovery via code-driven gene expression analysis
3. aiXiv: A next-generation open access ecosystem for scientific discovery generated by AI scientists

Multi-Agent Systems

4. CoMAS: Co-evolving multi-agent systems via interaction rewards (added to Multi-Agent Cooperation section)

Trustworthy AI

5. Achilles Heel of Distributed Multi-Agent Systems: Identifies trustworthiness challenges in distributed multi-agent systems (added to Trustworthy section)

Survey

6. The Landscape of Agentic Reinforcement Learning for LLMs: A comprehensive survey on agentic RL for LLMs (added to Survey & Tutorial section)

All papers are relevant to LLM-powered agents and follow the formatting conventions of this repository. Papers are placed in chronologically appropriate positions within their respective sections.

Thank you for considering our request.