Author

Pascal Frossard

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#machine learning Preprint Oct 2026

Enhancing Diffusion Language Models with Autoregressive Post-Training Weights

Diffusion language models (dLLMs) have emerged as a promising alternative to autoregressive (AR) language models, offering flexible token-update orders and parallel decoding. Recent dLLMs are often initialized from pretrained AR models before diffusion conversion in order to inherit their learned representations. After...

Yi-Ming Qin, Ke Wang, Amel Abdelraheem et al. · 0 citations

Preprint Oct 2026

Augmenting Large Audio Language Models with Low-Level Acoustic Features for Dysarthric Speech Detection

Automatic dysarthric speech detection approaches can support traditional clinical diagnosis, which relies on costly and time-consuming evaluation by a speech and language pathologist. Existing automatic approaches predominantly rely on deep learning (DL). More recently, Large Audio Language Models (LALMs) have emerged...

Mahdi Amiri, H. O. Shahreza, Pascal Frossard et al. · 0 citations