2 papers
cs.AI2026
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
Yang Yue, Xuancheng Zhu, Yuyang Ma +7
The automated design of agentic systems offers a promising pathway for scaling large language models (LLMs) beyond single-agent reasoning. While prior work has advanced task perfor…
cs.AI2026
Can LLM Agents Sustain Long-Horizon Organizational Dynamics?
Xuancheng Zhu, Yang Yue, Shuaibing Wan +4
Large language agents are increasingly used for social simulation, yet it remains unclear whether they can sustain coherent behavior in structured organizations, where goals must p…