LLM agent memory selection: beyond marginal influence
In brief
- JointCore finds minimal sufficient memory subsets for LLM agents.
- Cuts evaluations by 62.9% while preserving full behavior.
- Tested on 6,912 exact conditions and 432 tasks across 12B-70B models.
A new method, JointCore, enhances LLM agent memory selection by identifying minimal sufficient subsets that preserve full behavior. Tested on 6,912 exact conditions and 432 tasks, it cuts evaluations by 62.9% while maintaining 87.8% accuracy in active memory savings.
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