DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models

In three linesDualOptim+ is an optimization framework for machine unlearning in LLMs. It uses shared base states and decoupled delta states to balance forgetting and retention objectives. An 8bit variant reduces memory overhead. Tested on fictitious/real unlearning, safety alignment, and multi-task learning.

Summary generated by Claude — human-verified