Tianyi Peng

Simulating 8.3 billion diverse personas reveals nuanced user interactions that traditional evaluations miss, transforming how we assess AI systems.

Transforming data systems from passive repositories into active agents could redefine the landscape of autonomous automation and its safety protocols.

LLM-based digital twins can be made 50-90% more accurate with a lightweight calibration framework inspired by causal inference.