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New Research Proposes Multi-Granularity Memory Extraction for Multi-User, Multi-Agent Interaction

A new arXiv paper introduces a method for extracting memories at multiple granularities in settings where multiple users and agents interact, extending work on self-evolving agents that improve skills and memory from experience without retraining.

Read the full story at arXiv cs.CL ↗

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  1. 2026-11-10 05:00 · arXiv cs.CL
    Who Remembers What? Multi-Granularity Memory Extraction for Multi-User, Multi-Agent Interaction

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