MAC: A Multi-Agent Framework for Interactive User Clarification in Multi-turn Conversations
Proposes a multi‑agent architecture where specialized conversational agents coordinate to decide when and how to ask clarification questions in ambiguous multi‑turn tasks. Instead of a monolithic assistant, MAC assigns roles and coordination rules so that the ‘right’ agent takes the lead on resolving uncertainty. This is a nice complement to SpeakRL: one focuses on *whether* to clarify, the other on *who* clarifies and how to coordinate in complex workflows.
Emre Can Acikgoz, Jinoh Oh