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arXiv AI By Preeti Saraswat, Divya Neelagiri, Ajay Manoj

Gated Memory: Admission-Controlled Memory Formation for Conversational AI

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The paper introduces Gated Memory, a framework for improving how conversational AI systems form long‑term memory. It adds two checkpoints before facts are stored: an admission gate that checks each candidate fact against the full utterance context, and a conditional enrichment stage that tags facts with provenance, scope, and time/place grounding. On the LoCoMo‑10 benchmark, Gated Memory improves LLM‑judge accuracy by 2.6% relative to a strong baseline.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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