Humzah Merchant

Divergence Decoding: Targeted Unlearning via Auxiliary Models

Large Language Models (LLMs) frequently memorize sensitive training data, creating significant privacy and copyright risks. We present a novel unlearning framework rooted in the principle that learning is easier than forgetting. We first introduce \textbf{Divergence Decoding (DD)}, a mechanism that …