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ml:green_ai [2022/07/01 06:52] jmflanigml:green_ai [2025/12/10 10:12] (current) – [Papers] jmflanig
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   * [[https://arxiv.org/pdf/1906.02243.pdf|Strubell et al 2019 - Energy and Policy Considerations for Deep Learning in NLP]]   * [[https://arxiv.org/pdf/1906.02243.pdf|Strubell et al 2019 - Energy and Policy Considerations for Deep Learning in NLP]]
   * [[https://arxiv.org/pdf/2104.10350.pdf|Patterson et al 2021 - Carbon Emissions and Large Neural Network Training]]   * [[https://arxiv.org/pdf/2104.10350.pdf|Patterson et al 2021 - Carbon Emissions and Large Neural Network Training]]
 +  * [[https://arxiv.org/pdf/2406.12050|2024 - Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference]]
 +  * [[https://arxiv.org/pdf/2503.05804|Morrison et al 2025 - Holistically Evaluating the Environmental Impact of Creating Language Models]]
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 +===== Workshops and Conferences =====
 +  * NLP
 +    * Workshop on Simple and Efficient Natural Language Processing (SustaiNLP):[[https://sites.google.com/view/sustainlp2022|2022]] [[https://aclanthology.org/events/sustainlp-2022/|proceedings]] [[https://sites.google.com/view/sustainlp2021|2021]] [[https://aclanthology.org/events/sustainlp-2021/|proceedings]] [[https://sites.google.com/view/sustainlp2020|2020]] [[https://aclanthology.org/events/sustainlp-2021/|proceedings]]
 +    * Workshop on Efficient Natural Language and Speech Processing (ENLSP): [[https://neurips2022-enlsp.github.io/|2022]] [[https://neurips2022-enlsp.github.io/accepted_papers.html|proceedings]] [[https://neurips2021-nlp.github.io/|2021]] [[https://neurips2021-nlp.github.io/accepted_papers.html|proceedings]]
  
 ===== Related Pages ===== ===== Related Pages =====
   * [[nlp:NLP for Environmental Issues]]   * [[nlp:NLP for Environmental Issues]]
  
ml/green_ai.1656658353.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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