Distinguished Professor, University of Massachusetts Amherst
2 papers at NeurIPS 2025
We present AutoDiscovery, a method for open-ended scientific discovery that uses Bayesian surprise and Monte Carlo tree search to sample diverse hypotheses at scale that are likely to lead to discoveries that are suprising both to LLMs and humans.
Open-source framework for LLM unlearning supporting multiple benchmarks and methods.
