AutoMem: Automated Learning of Memory as a Cognitive Skill

Researchers developed AutoMem, a framework that treats memory management as a trainable skill for large language models. AutoMem automates memory structure optimization and proficiency enhancement, leading to significant performance improvements in long-horizon tasks. The framework was tested on three procedurally generated long-horizon games, showing a 2-4x performance improvement.

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