Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2206.05229
Cited By
Measuring the Carbon Intensity of AI in Cloud Instances
10 June 2022
Jesse Dodge
Taylor Prewitt
Rémi Tachet des Combes
Erika Odmark
Roy Schwartz
Emma Strubell
A. Luccioni
Noah A. Smith
Nicole DeCario
Will Buchanan
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Measuring the Carbon Intensity of AI in Cloud Instances"
28 / 28 papers shown
Title
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
Ashmita Sampatsing
Sophie Vos
Emma Beauxis-Aussalet
Justus Bogner
30
0
0
12 May 2025
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
Ajinkya Kulkarni
Atharva Kulkarni
Miguel Couceiro
Isabel Trancoso
52
0
0
02 Mar 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
S. Poddar
Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
Saptarshi Ghosh
64
0
0
08 Feb 2025
The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education
M. Lupetti
Elena Cavallin
Dave Murray-Rust
AI4CE
46
1
0
28 Jan 2025
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Shaina Raza
Ananya Raval
Veronica Chatrath
48
6
0
18 May 2024
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
Xiang Zhang
Khatoon Khedri
Reza Rawassizadeh
40
2
0
12 Apr 2024
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
19
2
0
17 Feb 2024
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Sasha Luccioni
Yacine Jernite
Emma Strubell
44
161
0
28 Nov 2023
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems
Sasu Tarkoma
Roberto Morabito
Jaakko Sauvola
36
19
0
10 Nov 2023
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz
S. Kaneda
Ruhan Wang
Rita Osi
Parteek Sharma
Fan Chen
Lei Jiang
31
56
0
25 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
35
15
0
05 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
120
11,099
0
18 Jul 2023
Vessim: A Testbed for Carbon-Aware Applications and Systems
Philipp Wiesner
Ilja Behnke
Paul Kilian
Marvin Steinke
O. Kao
36
3
0
16 Jun 2023
The Utility of Large Language Models and Generative AI for Education Research
Andrew Katz
Umair Shakir
B. Chambers
AI4CE
27
6
0
29 May 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner
R. Khalili
Dennis Grinwald
Pratik Agrawal
L. Thamsen
O. Kao
29
16
0
24 May 2023
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service
Baolin Li
S. Samsi
V. Gadepally
Devesh Tiwari
28
27
0
19 Apr 2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Diandian Gu
Xintong Xie
Gang Huang
Xin Jin
Xuanzhe Liu
GNN
24
7
0
13 Apr 2023
Sustainable Edge Computing: Challenges and Future Directions
Patricia Arroba
Rajkumar Buyya
Román Cárdenas
J. L. Risco-Martín
Jose M. Moya
24
11
0
10 Apr 2023
Green Federated Learning
Ashkan Yousefpour
Sheng Guo
Ashish Shenoy
Sayan Ghosh
Pierre Stock
Kiwan Maeng
Schalk-Willem Kruger
Michael G. Rabbat
Carole-Jean Wu
Ilya Mironov
FedML
AI4CE
44
10
0
26 Mar 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi
Varun Babbar
P. Sun
Fran Silavong
Ruibo Shi
Sean J. Moran
Sean Moran
53
1
0
17 Feb 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
A. Luccioni
Alex Hernandez-Garcia
34
45
0
16 Feb 2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
Alexandra Chronopoulou
Matthew E. Peters
Alexander Fraser
Jesse Dodge
MoMe
32
66
0
14 Feb 2023
Back to the Future: On Potential Histories in NLP
Zeerak Talat
Anne Lauscher
AI4TS
30
4
0
12 Oct 2022
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
34
60
0
07 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
30
109
0
31 Aug 2022
Towards Climate Awareness in NLP Research
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
35
32
0
10 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
215
1,661
0
15 Oct 2021
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
253
645
0
21 Apr 2021
1