[2603.20466] Diffutron: A Masked Diffusion Language Model for Turkish Language

Computer Science > Computation and Language arXiv:2603.20466 (cs) [Submitted on 20 Mar 2026] Title:Diffutron: A Masked Diffusion Language Model for Turkish Language Authors:Şuayp Talha Kocabay, Talha Rüzgar Akkuş View a PDF of the paper titled Diffutron: A Masked Diffusion Language Model for Turkish Language, by \c{S}uayp Talha Kocabay and 1 other authors View PDF HTML (experimental) Abstract:Masked Diffusion Language Models (MDLMs) have emerged as a compelling non-autoregressive alternative to standard large language models; however, their application to morphologically rich languages remains limited. In this paper, we introduce $\textit{Diffutron}$, a masked diffusion language model specifically designed for Turkish. Our approach leverages a resource-efficient training pipeline, starting with LoRA-based continual pre-training of a multilingual encoder on a large-scale corpus. To enable generative capabilities, we employ a progressive instruction-tuning strategy, sequentially adapting the model on general and task-specific instruction sets. Experimental results across comprehensive benchmarks demonstrate that, despite its compact size, our model achieves competitive performance compared to existing multi-billion-parameter baselines. These findings validate the effectiveness of masked diffusion modeling combined with multi-stage tuning for non-autoregressive text generation in Turkish. Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI) Cite as: arX...