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cs.CL2026
DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention
Younjoo Lee, Seungkyun Dan, Junghoo Lee +2
Masked diffusion language models enable parallel token decoding, providing a promising alternative to the sequential nature of autoregressive generation. However, their iterative d…
cs.CR2026
Scaling up FHE-based Privacy-Preserving ML: Higher Throughput, Longer Inputs for LLama-3-8B
Jaiyoung Park, Sejin Park, Jai Hyun Park +6
As large language models (LLMs) become ubiquitous, privacy concerns pertaining to inference keep growing. Fully homomorphic encryption (FHE) has emerged as a primary cryptographic…