Dual Hierarchical Dialogue Policy Learning for Legal Inquisitive Conversational Agents

ArXi:2605.14057v1 Announce Type: new Most existing dialogue systems are user-driven, primarily designed to fulfill user requests. However, in many critical real-world scenarios, a conversational agent must proactively extract information to achieve its own objectives rather than merely respond. To address this gap, we