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Mojtaba Nafez

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#natural language process... Preprint Oct 2026

Know When to Hold'em: Correct-Token Retention in Uniform-State Diffusion Language Models

Uniform-state diffusion models (USDMs) can revise any token at any denoising step, which lets them correct their own mistakes, a key advantage over masked diffusion. Self-correction, however, requires both revising incorrect tokens and retaining correct ones, and we show that current USDMs lack the latter. Even under g...

Mojtaba Nafez, James Henderson · 0 citations

Preprint Sep 2026

GhostWord: A Fine-Grained Backdoor Attack on Automatic Speech Recognition

During poisoning, a trigger is injected into the forced-aligned time span of a chosen source word in the audio and replace only that word in the transcript, enabling precise semantic flips and composable sentence manipulation while avoiding many-to-one label artifacts.

Mojtaba Nafez, Mobina Poulaei, Kiarash Kiani Feriz et al. · 0 citations