activity
20222026
most citedHiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning

3 citations · 3 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

MemScope: Evolving Agent Memory Architectures through Localized Code Repair

Miao Su, Yucan Guo, Zixuan Li +4

Agent memory architectures define how LLM agents store and reuse experience across tasks, but they are typically fixed after deployment, limiting their adaptability across task typ…

cs.AI2026

ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents

Wei Chen, Peilun Zhou, Zhaoyu Hu +8

Large language model (LLM) agents are increasingly deployed in user-facing services that require iterative tool use under dynamic business conditions. Reliable evaluation is essent…

cs.AI2026

Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents

Miao Su, Yucan Guo, Zhongni Hou +8

Memory enables Large Language Model (LLM) agents to perceive, store, and use information from past dialogues, which is essential for personalization. However, existing methods fail…

cs.AI2025

Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs

Zhongni Hou, Miao Su, Xiaolong Jin +4

Temporal Knowledge Graphs (TKGs), which utilize quadruples in the form of (subject, predicate, object, timestamp) to describe temporal facts, have attracted extensive attention. N-…

cs.AI2022★ 3 cited

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning

Zixuan Li, Zhongni Hou, Saiping Guan +7

A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective timestamps, which adopts quadruples in the form of (\emph{subject}, \emph{relation}, \emph{object}, \emph{time…