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20232026
most cited"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

87 citations · 111 across the 10 of their papers we have counts for

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2 papers · 1 filter

cs.AI2026

CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

Bingcan Guo, Eryue Xu, Jijie Zhou +2

Aligning large language models (LLMs) with human privacy preferences requires capturing individuals' disclosure boundaries beyond general privacy norms. However, a gap remains in e…

cs.HC2026

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…