2026
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
ICML 2026poster
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 performance through handcrafted or automatically generated multi-agent workflows, robustness is often treated as an afterthoug…