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cs.AI2026
Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware
Farhana Amin, Sabiha Afroz, Mona Moghadampanah +1
Masked diffusion language models (dLLMs) can in principle generate text faster than autoregressive (AR) models, since they denoise many tokens at once. Recent systems have begun bu…
cs.AI2026
CAI-DLLM: Convergence Aware Inference for Diffusion Language Models
Farhana Amin, Sabiha Afroz, Dimitrios S. Nikolopoulos
Diffusion language models can generate many tokens in parallel, but they still require repeated denoising steps during inference. This makes generation costly, especially when the…