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Shenglai Zeng

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline
AutoMEM Accepted at AACL 2026

We build compiler, architecture, and toolkit foundations for faster, more understandable intelligent systems.

Computer Science · George Mason University · Fairfax, Virginia