Author

Tom Tirer

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Preprint Oct 2026

Enhanced Masked Diffusion Unlearning

Masked diffusion language models (MDLMs) generate text by iteratively unmasking tokens with bidirectional context. As these models reach real-world deployment, machine unlearning becomes essential. This process aims to remove the influence of a designated"forget set"without retraining from scratch, so that sensitive, c...

Tomer Garber, Tom Tirer · 0 citations

Preprint Sep 2026

Instance-Specific Classifier-Free Guidance for Text-to-Image Diffusion/Flow-Based Editing

In recent years, a variety of prompt-based image editing methods have been developed based on text-to-image (T2I) diffusion/flow models. Image editing introduces an inherent trade-off between adhering to the original source image and realizing the change specified by the target prompt, which are typically measured by t...

Wajeeh Atrash, Tom Tirer · 0 citations