SaliMory: Orchestrating Cognitive Memory for Conversational Agents

SALIMORY is a framework that trains a single language model to manage cognitively-structured memory for conversational agents, addressing issues with existing memory expansion and reinforcement learning methods. It achieves this through a hierarchical stage-wise process reward and reward-decomposed contrastive refinement, significantly improving accuracy and personalization while reducing memory-attributed failures.