POSTECH's PACE uses coordinated agents to surface hidden conflicts in user requests
POSTECH · hf · 2026-09-04
Researchers from POSTECH introduce PACE, a framework targeting hidden conflicts in personalized AI assistant requests. Its core component, PaceMaker, uses coordinated agents to retrieve implicit contextual evidence and evaluate whether a personalized request clashes with users' hidden pre-existing constraints — a multi-agent approach to personalization consistency detection.
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