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…