15 citations · 16 across the 5 of their papers we have counts for
5 papers · 1 filter
What should AI forget? A design and taxonomy for negative space governance in AI memory
Eryue Xu, Ke Ding, Ting-Yu Chang +2
AI memory personalizes assistants, yet users want some disclosed information forgotten. We characterize the negative space of AI memory, where protection should take precedence ove…
Characterizing Memory Misalignment in Human-LLM Interaction From User Perspectives
Jingruo Chen, Shuning Zhang, Eryue Xu +2
While memory enhances personalization in LLM-based conversational agents, it suffers from memory misalignment, where memories violate user expectations. We present a mixed-methods…
Comparing Human Oversight Strategies for Computer-Use Agents
Chaoran Chen, Zhiping Zhang, Zeya Chen +9
LLM-powered computer-use agents (CUAs) shift users from direct manipulation to supervising an unfolding action sequence, yet existing oversight research mostly evaluates static dec…
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management
Eryue Xu, Tianshi Li
Managing one's digital footprint is overwhelming, as it spans multiple platforms and involves countless context-dependent decisions. Recent advances in agentic AI offer ways forwar…
Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots
Jijie Zhou, Eryue Xu, Yaoyao Wu +1
The proliferation of LLM-based conversational agents has resulted in excessive disclosure of identifiable or sensitive information. However, existing technologies fail to offer per…