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arXiv — cs.AI preprintsInternational9 October 2026

RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations

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arXiv:2610.01780v3 Announce Type: replace Abstract: An AI companion that talks with someone for months should come to understand them. It should know who they are, remember what they said, and recognize when something from the past matters now. Testing this needs real conversations, but real conversations are private, so existing benchmarks use invented people and invented questions. We release RealCompanion, ten real relationships between people and an AI companion, with 27,218 messages over up to 120 days. For each person, we release the full conversation, a profile, a persona, chat test ite
— arXiv — cs.AI preprints

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