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cs.LG2026
Energy Consumption Analysis of Discrete Diffusion and Autoregressive Language Models
Boris Ruf, Marcin Detyniecki
As Large Language Models (LLMs) continue to scale, their energy consumption during inference has become a critical concern. While Autoregressive (AR) models are the industry standa…
cs.DC2026
The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models
Boris Ruf, Marcin Detyniecki
The rapid adoption of Retrieval-Augmented Generation (RAG) and long-context LLMs has shifted the computational burden toward the prefill phase---the initial stage where the model p…