15 citations · 45 across the 13 of their papers we have counts for
3 papers · 1 filter
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning
Matthew Khoriaty, Andrii Shportko, Gustavo Mercier +1
Recent developments in Large Language Model (LLM) capabilities have brought great potential but also posed new risks. For example, LLMs with knowledge of bioweapons, advanced chemi…
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status
Samuel Lee, Zach Wood-Doughty
Causal understanding is a fundamental goal of evidence-based medicine. When randomization is impossible, causal inference methods allow the estimation of treatment effects from ret…
Faithful and Plausible Explanations of Medical Code Predictions
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Machine learning models that offer excellent predictive performance often lack the interpretability necessary to support integrated human machine decision-making. In clinical medic…