RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations
A companion that talks with a person for months should come to understand them. It should remember what they said, infer who they are, and know when the past bears on the message in front of it. Testing this requires a real person's record, and such records are private, so benchmarks generate the person and the questio...
Arman Behnam, Sunglyoung Kim, Liang-Wei Yang
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