Papers by Danh Le-Phuoc

1 papers
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts (2025.findings-emnlp)

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Challenge: SLMs offer computational efficiency and accessibility, yet a systematic evaluation of their performance and environmental impact remains lacking.
Approach: SLM-Bench evaluates 15 SLMs on 9 NLP tasks using 23 datasets . compared accuracy, computational efficiency, and sustainability metrics .
Outcome: SLM-Bench evaluates 15 SLMs on 9 NLP tasks using 23 datasets spanning 14 domains.

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