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cs.AI2026
Mechanistic Attention Guidance for Agent Memory Refinement
Yechao Hong, Haiquan Qiu, Yaqing Wang +1
Existing self-evolving memory systems mainly improve agent memory based on textual outputs, such as task trajectories and reflections. However, this text-based paradigm rarely inco…
cs.DB2026
Scaling GraphLLM with Bilevel-Optimized Sparse Querying
Yangzhe Peng, Haiquan Qiu, Quanming Yao +1
LLMs have recently shown strong potential in enhancing node-level tasks on text-attributed graphs (TAGs) by providing explanation features. However, their practical use is severely…