OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents
This work proposes \textbf{Self-ReCheck}, a lightweight, model-agnostic memory filtering mechanism that mitigates over-personalization while preserving personalization performance in memory-augmented dialogue systems.