Papers by Xuelei Wang

1 papers
TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents (2026.findings-acl)

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Challenge: Existing memory frameworks provide limited support for temporally structured information across hierarchical levels, leading to fragmented memories and unstable long-horizon personalization.
Approach: They propose a temporal–hierarchical memory framework that organizes conversations through a Temporal Memory Tree.
Outcome: The proposed framework outperforms baselines while reducing the recalled memory length by 52.20%.

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