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Soham Poddar

2 accepted papers

2025

Brevity is the soul of sustainability: Characterizing LLM response lengths

ACL 2025finding

A significant portion of the energy consumed by Large Language Models (LLMs) arises from their inference processes; hence developing energy-efficient methods for inference is crucial. While several techniques exist for inference optimization, output compression remains relatively unexplored, with on…

2025

Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models

NAACL 2025long

Large language models (LLMs) are increasingly recognized for their exceptional generative capabilities and versatility across various tasks. However, the high inference costs associated with these models have not received adequate attention, particularly when compared to the focus on training costs…

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