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Author

Arman Behnam

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#artificial intelligence Preprint Oct 2026

Structure-agnostic Causal Representation Learning

SaCRL is introduced, a framework that jointly identifies the causal structure and learns the corresponding invariant representation without prior structural knowledge, and provides theoretical guarantees for structure identification, including under random-feature approximation, invariance satisfaction, and out-of-dist...

Arman Behnam, Bing-Hui Wang · 2 citations
#artificial intelligence Preprint Oct 2026

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 · 0 citations

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