6 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents
Nikhil Sharma, Zheng Zhang, Daniel Lee +4
High-quality feedback is essential for effective human-AI interaction. It bridges knowledge gaps, corrects digressions, and shapes system behavior; both during interaction and thro…
PosterMate: Audience-driven Collaborative Persona Agents for Poster Design
Donghoon Shin, Daniel Lee, Gary Hsieh +1
Poster designing can benefit from synchronous feedback from target audiences. However, gathering audiences with diverse perspectives and reconciling them on design edits can be cha…
Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale
Priyan Vaithilingam, Munyeong Kim, Frida-Cecilia Acosta-Parenteau +4
How do we update AI memory of user intent as intent changes? We consider how an AI interface may assist the integration of new information into a repository of natural language dat…
Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation
Yuan Tian, Daniel Lee, Fei Wu +5
Text-to-SQL models, which parse natural language (NL) questions to executable SQL queries, are increasingly adopted in real-world applications. However, deploying such models in th…