AI Research

    Not All Memories Are Equal: Hierarchical Collaborative Memory for Validity-Aware Retrieval in LLM Agents

    Hierarchical memory structures allow multi-agent systems to balance individual progress with collective team consensus.

    In team collaboration scenarios, memory is heterogeneous and continually evolving. Team memories capture collective decisions, protocols, and current consensus, while individual memories preserve member-specific observations, execution traces, and intermediate progress. Existing ...

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    ArXiv CS.CL

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    ArXiv CS.CL
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    This research introduces a framework that differentiates between team-level consensus and individual agent observations to improve reasoning in complex collaborative tasks. By implementing a hierarchical memory structure, it effectively reduces hallucination and ensures that agents prioritize verified collective knowledge over potentially outdated personal traces.

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