24 citations · 53 across the 13 of their papers we have counts for
7 papers · 1 filter
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
Michael J. Q. Zhang, Eunsol Choi
Resolving ambiguities through interaction is a hallmark of natural language, and modeling this behavior is a core challenge in crafting AI assistants. In this work, we study such b…
Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders
Xuewen Yao, Miriam Mikhelson, S. Craig Watkins +3
In collaboration with Postpartum Support International (PSI), a non-profit organization dedicated to supporting caregivers with postpartum mood and anxiety disorders, we developed…
Concise Answers to Complex Questions: Summarization of Long-form Answers
Abhilash Potluri, Fangyuan Xu, Eunsol Choi
Long-form question answering systems provide rich information by presenting paragraph-level answers, often containing optional background or auxiliary information. While such compr…
A Critical Evaluation of Evaluations for Long-form Question Answering
Fangyuan Xu, Yixiao Song, Mohit Iyyer +1
Long-form question answering (LFQA) enables answering a wide range of questions, but its flexibility poses enormous challenges for evaluation. We perform the first targeted study o…
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan +2
Pre-trained language models (LMs) are used for knowledge intensive tasks like question answering, but their knowledge gets continuously outdated as the world changes. Prior work ha…
DIFFQG: Generating Questions to Summarize Factual Changes
Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos +3
Identifying the difference between two versions of the same article is useful to update knowledge bases and to understand how articles evolve. Paired texts occur naturally in diver…