====== Green AI ======

===== Papers ====

  * [[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/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]]


===== 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 =====
  * [[nlp:NLP for Environmental Issues]]