6 citations · 10 across the 8 of their papers we have counts for
8 papers
Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions
Pranav Narayanan Venkit, Akshara Prabhakar, Yu Li +2
As AI companions increasingly mediate repeated social interaction, users may rely on a stable role and shared history, yet locally acceptable replies do not ensure that either pers…
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…
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
Xiaobin Shen, Daniel Lee, Sumit Ranjan +3
Enterprise conversational AI systems are becoming increasingly popular to assist users in completing daily tasks such as those in marketing and customer management. However, new us…
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
Tanay Dixit, Daniel Lee, Sally Fang +4
Large Language Models (LLMs) are increasingly integrated into diverse applications. The rapid evolution of LLMs presents opportunities for developers to enhance applications contin…
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering
Zhengyuan Zhu, Daniel Lee, Hong Zhang +4
Recent advancements in retrieval-augmented generation (RAG) have demonstrated impressive performance in the question-answering (QA) task. However, most previous works predominantly…