Author

Chang Liu

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Preprint Aug 2026

FTA-Mem: Fact-Time-Affect Anchored Memory for Low-Density Long-Term Dialogue

FTA-Mem is proposed, a structured memory framework for low-density long-term dialogue that uses Boundary-preserving Window Segmentation to form coherent situation fragments, and constructs Fact-Time-Affect Memory Units that jointly encode factual content, temporal grounding, and affective context.

Chang Liu, Jun Zhao, Shu-Yi Zhang et al. · 0 citations