PhD student, University of Massachusetts at Amherst
2 papers at NeurIPS 2025
We present active measurement, a human-in-the-loop AI framework that combines AI predictions with importance sampling, model adaptation, and human labeling to make accurate scientific measurements.
Open-source framework for LLM unlearning supporting multiple benchmarks and methods.
