P-ContextBench evaluates personal-context understanding with population-structured, life-story-grounded digital humans built from demographic seeds
Read the original at arxiv.org→arXiv:2610.40959v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for personal tasks, yet evaluating their safe use of personal context remains difficult because such contexts are...
Original headline: "P-ContextBench: From Personal Fact Recall to Personalized Agent Behavior"
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- Nov 2, 05:00 UTC arXiv cs.AI lead source P-ContextBench: From Personal Fact Recall to Personalized Agent Behavior