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20242026
most citedSustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

2 citations · 2 across the 4 of their papers we have counts for

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cs.CY2024

The Price of Prompting: Profiling Energy Use in Large Language Models Inference

Erik Johannes Husom, Arda Goknil, Lwin Khin Shar +1

In the rapidly evolving realm of artificial intelligence, deploying large language models (LLMs) poses increasingly pressing computational and environmental challenges. This paper…