YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents

ArXi:2604.10968v1 Announce Type: new Most conversational agents (CAs) are designed to satisfy user needs through user-driven interactions. However, many real-world settings, such as academic interviewing, judicial proceedings, and journalistic investigations, involve broader institutional decision-making processes and require agents that can elicit information from users. In this paper, we