Author of "Scaling Laws for Differentially Private Language Models"
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Alyssa Hughes as author
CORPGEN framework enables AI agents to manage multiple interdependent workplace tasks simultaneously, achieving 3.5x higher completion rates than baseline agents by implementing hierarchical planning, memory isolation, and experiential learning.
“Author of "CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task E" in Microsoft Corporation”
As heterogeneous agents from different developers proliferate and must interoperate through Model Context Protocol, tool-space interference—where co-present tools reduce end-to-end effectiveness—emerges as a new failure mode requiring pragmatic interventions.
“Author of "Scaling Laws for Differentially Private Language Models"”