benchmarking 1diffusion models 1inference acceleration 1large language models 1parallel generation 1
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cs.LG2026
Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
Daehoon Gwak, Minhyung Lee, Junwoo Park +1
The paper surveys methods for speeding up inference of masked diffusion large language models by categorizing algorithmic, architectural, and system-level acceleration techniques a…
cs.LG2025
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
Junwoo Park, Hyuck Lee, Dohyun Lee +2
Large Language Models (LLMs) have shown remarkable performance across diverse tasks without domain-specific training, fueling interest in their potential for time-series forecastin…