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Papers
Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs
AAAI 2025
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
AAAI 2025
Holistically Evaluating the Environmental Impact of Creating Language Models
ICLR 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
AAAI 2025
Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View
ACL 2025
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
NeurIPS 2024
Environmental Impact Measurement in the MentalRiskES Evaluation Campaign
COLING 2024
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
Interspeech 2024
Energy and Carbon Considerations of Fine-Tuning BERT
EMNLP 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
JMLR 2023
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
IJCAI 2023
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
JMLR 2020