Benchmark-driven regression models can estimate prompt-level LLM inference energy and carbon emissions with roughly 15% average error on a curated external dataset.
Reducing the carbon impact of generative ai inference (today and in 2035),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
extension 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
extension 1polarities
extend 1representative citing papers
citing papers explorer
-
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
Benchmark-driven regression models can estimate prompt-level LLM inference energy and carbon emissions with roughly 15% average error on a curated external dataset.