4 papers
On Open-Ended Information Seeking for Information Elicitation Agents
Victor De Lima, Grace Hui Yang
Information elicitation is an open-ended information-seeking problem in which an interaction can unfold in many potentially valuable directions, requiring an elicitor to continuall…
YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents
Victor De Lima, Grace Hui Yang
Most conversational agents (CAs) are designed to satisfy user needs through user-driven interactions. However, many real-world settings, such as academic interviewing, judicial pro…
Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
Victor De Lima, Jiqun Liu, Grace Hui Yang
AI systems increasingly shape how individuals access and evaluate information, intensifying concerns about misinformation. Computational simulation offers a controlled complement t…
Passage Query Methods for Retrieval and Reranking in Conversational Agents
Victor De Lima, Grace Hui Yang
This paper presents our approach to the TREC Interactive Knowledge Assistance Track (iKAT), which focuses on improving conversational information-seeking (CIS) systems. While recen…