most cited10Cache: Heterogeneous Resource-Aware Tensor Caching and Migration for LLM Training

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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…