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MemPrism proposes a task-conditioned relational memory framework that separates persistent experience storage from decision-time working memory, enabling long-horizon agents to dynamically construct relational views for improved performance and reduced token usage.
SubtleMemory is a benchmark for evaluating AI agents' fine-grained relational memory discrimination in long-horizon interactions, consisting of 1,522 instances over 10 long histories. It reveals limitations in current memory systems for preserving and utilizing nuanced memory relationships.
HAGE introduces a weighted multi-relational memory framework that enables query-conditioned traversal over unified relational memory graphs, improving long-horizon reasoning accuracy through adaptive memory retrieval and reinforcement learning-based optimization.