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Matching papers

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

110 upvotes · 1 OCT 2026 · Arman Behnam, Sunglyoung Kim, Liangwei Yang

This paper benchmarks a conversational AI system's ability to understand humans over long-term conversations, testing its ability to remember past interactions and reason about their context. Practitioners might care because this research helps improve AI systems' capacity for human-like understanding and conversation.

human-computer interactionconversation AIlong-term memoryreasoningdialogue systems

HABIT-Bench: Evaluating Habit Induction from Longitudinal Weak Evidence in Agent Memory

84 upvotes · 20 OCT 2026 · Junming Zhang, Rubin Wei, Xu Cheng et al.

This paper evaluates how well large language model agents can infer and apply habits from incomplete or weak evidence, and how this relates to their performance in real-world conversations. Practitioners caring about conversational AI might care about this research because it can help improve agents' ability to understand user behavior and adapt to changing habits.

agent memoryhabit inductioncontinual learningnatural language processingdialogue systems