Machine Unlearning for Masked Diffusion Language Models

In three linesFirst machine unlearning framework for masked diffusion language models (MDLMs like LLaDA and Dream). MDU minimizes KL divergence from prompt-conditional predictions to prompt-masked unconditional anchor, with temperature scaling to control privacy-utility trade-off. Code released.

Summary generated by Claude — human-verified