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1910.09700
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Quantifying the Carbon Emissions of Machine Learning
21 October 2019
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
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Papers citing
"Quantifying the Carbon Emissions of Machine Learning"
50 / 441 papers shown
Title
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
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Efficient LLMs with AMP: Attention Heads and MLP Pruning
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Bruno Yamamoto
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A. H. R. Costa
Artur Jordao
154
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To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels
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Ana Guerberof Arenas
140
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0
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POET: Prompt Offset Tuning for Continual Human Action Adaptation
European Conference on Computer Vision (ECCV), 2025
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
223
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25 Apr 2025
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward
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Luca Casini
Bob L. T. Sturm
171
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Efficient Reasoning Models: A Survey
Sicheng Feng
Gongfan Fang
Xinyin Ma
Xinchao Wang
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Pretraining Language Models for Diachronic Linguistic Change Discovery
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Sabrina Li
Tom Lippincott
Leshem Choshen
Craig Messner
334
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07 Apr 2025
Steering off Course: Reliability Challenges in Steering Language Models
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Hari Sethuraman
Dheeraj Rajagopal
Hannaneh Hajishirzi
Sachin Kumar
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229
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Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing
Antonio Castaldo
Sheila Castilho
Joss Moorkens
Johanna Monti
290
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0
03 Apr 2025
Carbon Footprint Evaluation of Code Generation through LLM as a Service
Tina Vartziotis
Maximilian Schmidt
George Dasoulas
Ippolyti Dellatolas
Stefano Attademo
Viet Dung Le
Anke Wiechmann
Tim Hoffmann
Michael Keckeisen
S. Kotsopoulos
188
6
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Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
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June Sallou
Alexander Boll
Timo Kehrer
Alberto Bacchelli
372
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Green Prompting
Marta Adamska
Daria Smirnova
Hamid Nasiri
Zhengxin Yu
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AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services
Xiaoqi Wang
Hongyang Du
Yuehong Gao
Dong In Kim
179
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How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale
Jeanette Falk
Yiyi Chen
Janet Rafner
Mike Zhang
Johannes Bjerva
Alexander Nolte
222
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0
06 Mar 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)
Pedram Bakhtiarifard
Pınar Tözün
Christian Igel
Raghavendra Selvan
260
2
0
27 Feb 2025
Quantifying depressive mental states with large language models
Jakub Onysk
Quentin Huys
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174
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Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
S. Poddar
Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
Saptarshi Ghosh
321
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08 Feb 2025
Green AI: Which Programming Language Consumes the Most?
International Workshop on Green and Sustainable Software (GSS), 2024
Niccolò Marini
Leonardo Pampaloni
Filippo Di Martino
Roberto Verdecchia
Enrico Vicario
128
3
0
28 Jan 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Alessio Quercia
Erenus Yildiz
Zhuo Cao
Kai Krajsek
Abigail Morrison
Ira Assent
Hanno Scharr
250
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22 Jan 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML
European Conference on Artificial Intelligence (ECAI), 2024
Daphne Theodorakopoulos
Frederic Stahl
Marius Lindauer
311
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Investigating Length Issues in Document-level Machine Translation
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Rachel Bawden
François Yvon
276
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"ScatSpotter" 2024 -- A Distributed Dog Poop Detection Dataset
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163
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RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
AAAI Conference on Artificial Intelligence (AAAI), 2024
Vishwesh Sangarya
Jung-Eun Kim
246
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20 Dec 2024
Holistic Adversarially Robust Pruning
International Conference on Learning Representations (ICLR), 2024
Qi Zhao
Christian Wressnegger
201
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19 Dec 2024
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque
Ander Corral
Ixak Sarasua
Xabier Saralegi
155
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18 Dec 2024
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
V. Saxena
Benjamin Bashpole
Gijs van Dijck
Gerasimos Spanakis
193
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18 Dec 2024
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
European Conference on Information Retrieval (ECIR), 2024
Paloma Piot
Javier Parapar
325
162
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18 Dec 2024
Streaming Detection of Queried Event Start
Neural Information Processing Systems (NeurIPS), 2024
Cristobal Eyzaguirre
Eric Tang
S. Buch
Adrien Gaidon
Jiajun Wu
Juan Carlos Niebles
259
2
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04 Dec 2024
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
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Sotiris Pelekis
Evangelos Karakolis
G. Lampropoulos
S. Mouzakitis
Ourania Markaki
Christos Ntanos
D. Askounis
312
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25 Nov 2024
Layer Pruning with Consensus: A Triple-Win Solution
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Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna Helena Reali Costa
Artur Jordao
242
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An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2
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Jelle Zuidema
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257
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Watermark Anything with Localized Messages
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Tom Sander
Pierre Fernandez
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Teddy Furon
Matthijs Douze
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382
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11 Nov 2024
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models
Sultan Alrashed
Dmitrii Khizbullin
David R. Pugh
150
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Multi-Scale and Multimodal Species Distribution Modeling
Nina Van Tiel
Robin Zbinden
Emanuele Dalsasso
B. Kellenberger
Loïc Pellissier
D. Tuia
154
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06 Nov 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Haw-Shiuan Chang
Nanyun Peng
Mohit Bansal
Anil Ramakrishna
Tagyoung Chung
214
7
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03 Nov 2024
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue H. Zhang
Lucas Maes
Alexia Jolicoeur-Martineau
Alexia Jolicoeur-Martineau
Damien Scieur
Damien Scieur
Simon Lacoste-Julien
Charles Guille-Escuret
222
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25 Oct 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
Eddie L. Ungless
Nikolas Vitsakis
Zeerak Talat
James Garforth
Bjorn Ross
Arno Onken
Atoosa Kasirzadeh
Alexandra Birch
230
3
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17 Oct 2024
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
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Maksim Kuznetsov
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Daniil Polykovskiy
E. Tutubalina
Rim Shayakhmetov
Z. Miftahutdinov
153
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11 Oct 2024
KidLM: Advancing Language Models for Children -- Early Insights and Future Directions
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Davood Rafiei
ALM
226
9
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SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
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Grzegorz Stefański
P. Daniluk
Artur Szumaczuk
Jakub Tkaczuk
154
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MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Marco Gaido
Sara Papi
L. Bentivogli
Alessio Brutti
Mauro Cettolo
R. Gretter
M. Matassoni
Mohamed Nabih
Matteo Negri
170
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Decoding Hate: Exploring Language Models' Reactions to Hate Speech
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Paloma Piot
Javier Parapar
203
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PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
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Zhenxiao Liang
Bo Sun
Qixing Huang
81
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Bert Joseph Prestoza
Nicholas Vincent
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183
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ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Stefan Kraft
Andreas Theissler
Vera Wienhausen-Wilke
Philipp Walter
Gjergji Kasneci
231
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Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
International Conference on Cognitive Machine Intelligence (ICCMI), 2024
Bahadır Eryılmaz
Osman Alperen Koras
Jorg Schlotterer
Christin Seifert
123
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Green Federated Learning: A new era of Green Aware AI
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Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
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Ilia Markov
250
3
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Energy Consumption Trends in Sound Event Detection Systems
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Constance Douwes
Romain Serizel
249
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Normalizing Energy Consumption for Hardware-Independent Evaluation
International Workshop on Machine Learning for Signal Processing (MLSP), 2024
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164
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