hierarchical understanding 1memory benchmarks 1personalized agents 1synthetic user data 1user modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data
Lingyang Zeng, Guangze Chen, Kaichen Yu +9
Setoka is a benchmark that evaluates how well memory‑augmented personalized agents understand users at multiple hierarchical levels—semantic, episodic, behavior patterns, and perso…
cs.SE2026
Characterizing and Mitigating False-Positive Bug Reports in the Linux Kernel
Jiashuo Tian, Dong Wang, Chen Yang +3
False-positive bug reports represent a significant yet underexplored challenge in the development and maintenance of the Linux kernel. They occur when correct system behavior is mi…