PACE Dataset for Evaluating Personalized Assistant Conflict Detection
September 2, 2026
PACE introduces a dataset designed to evaluate if models can identify latent constraints and egocentric knowledge that render user requests inappropriate. It moves beyond explicit safety triggers to test for implicit conflicts retrieved from external knowledge bases.
HOW THIS AFFECTS YOU
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builderYou can use this to improve the contextual appropriateness and refusal logic of personalized agents.
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researcherThis provides a new benchmark for testing implicit reasoning in agentic workflows.