most citedReasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

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…