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arXiv cs.CL·

SaliMory: Orchestrating Cognitive Memory for Conversational Agents

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In three linesSaliMory is a training framework for conversational agents with persistent memory. It uses hierarchical cognitive structure (user facts, preferences, working memory) and stage-wise decomposed rewards to supervise memory operations (filtering, consolidation, cue-driven recall). Results: -33% memory-attributed failures, +10% end-to-end accuracy, +100% Good Personalization rate.
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AI AgentsReinforcement learningReasoning

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