OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yu, Zhaojian, Wu, Yinghao, Deng, Zhuotao, Tang, Yansong, Zhang, Xiao-Ping |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
par: Wang, Xinlei, et autres
Publié: (2026)
par: Wang, Xinlei, et autres
Publié: (2026)
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
par: Xie, Haijin, et autres
Publié: (2025)
par: Xie, Haijin, et autres
Publié: (2025)
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
par: Jiang, Lei, et autres
Publié: (2025)
par: Jiang, Lei, et autres
Publié: (2025)
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
par: Jiang, Lei, et autres
Publié: (2026)
par: Jiang, Lei, et autres
Publié: (2026)
Unified Uncertainty Estimation for Cognitive Diagnosis Models
par: Wang, Fei, et autres
Publié: (2024)
par: Wang, Fei, et autres
Publié: (2024)
A Unifying Human-Centered AI Fairness Framework
par: Rahman, Munshi Mahbubur, et autres
Publié: (2025)
par: Rahman, Munshi Mahbubur, et autres
Publié: (2025)
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
par: Yu, Zhaojian, et autres
Publié: (2024)
par: Yu, Zhaojian, et autres
Publié: (2024)
The Scope 4 Emission: Neutralized Carbon Emissions
par: Liu, Zhu, et autres
Publié: (2024)
par: Liu, Zhu, et autres
Publié: (2024)
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
par: Faiz, Ahmad, et autres
Publié: (2023)
par: Faiz, Ahmad, et autres
Publié: (2023)
Z1: Efficient Test-time Scaling with Code
par: Yu, Zhaojian, et autres
Publié: (2025)
par: Yu, Zhaojian, et autres
Publié: (2025)
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
par: Zeng, Jinwei, et autres
Publié: (2025)
par: Zeng, Jinwei, et autres
Publié: (2025)
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
par: Tang, Yihong, et autres
Publié: (2025)
par: Tang, Yihong, et autres
Publié: (2025)
Computational Fluid Dynamics: its Carbon Footprint and Role in Carbon Emission Reduction
par: Yang, Xiang I A, et autres
Publié: (2024)
par: Yang, Xiang I A, et autres
Publié: (2024)
Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
par: Jewitt, James, et autres
Publié: (2026)
par: Jewitt, James, et autres
Publié: (2026)
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
par: White, Matt, et autres
Publié: (2024)
par: White, Matt, et autres
Publié: (2024)
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
par: Binkyte, Ruta, et autres
Publié: (2022)
par: Binkyte, Ruta, et autres
Publié: (2022)
Guiding Self-Organizing Dynamics of Residential Choice in Cities to Reduce Traffic Congestion and Carbon Emissions
par: Liu, Yu-Qing, et autres
Publié: (2024)
par: Liu, Yu-Qing, et autres
Publié: (2024)
AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
par: VatandoustMohammadieh, Mrzieh, et autres
Publié: (2024)
par: VatandoustMohammadieh, Mrzieh, et autres
Publié: (2024)
Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
par: Cen, Sarah H., et autres
Publié: (2025)
par: Cen, Sarah H., et autres
Publié: (2025)
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
par: Zhang, Yue, et autres
Publié: (2023)
par: Zhang, Yue, et autres
Publié: (2023)
Nuclear Explosions for Large Scale Carbon Sequestration
par: Haverly, Andrew
Publié: (2025)
par: Haverly, Andrew
Publié: (2025)
A Unified Post-Processing Framework for Group Fairness in Classification
par: Xian, Ruicheng, et autres
Publié: (2024)
par: Xian, Ruicheng, et autres
Publié: (2024)
Defining and Evaluating Physical Safety for Large Language Models
par: Tang, Yung-Chen, et autres
Publié: (2024)
par: Tang, Yung-Chen, et autres
Publié: (2024)
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
par: Wolfe, Robert, et autres
Publié: (2024)
par: Wolfe, Robert, et autres
Publié: (2024)
Efficient Strategies on Supply Chain Network Optimization for Industrial Carbon Emission Reduction
par: Lei, Jihu
Publié: (2024)
par: Lei, Jihu
Publié: (2024)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
par: Wei, Shou'ang, et autres
Publié: (2025)
par: Wei, Shou'ang, et autres
Publié: (2025)
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
par: Nguyen, Loc Phuc Truong, et autres
Publié: (2025)
par: Nguyen, Loc Phuc Truong, et autres
Publié: (2025)
Emissions and Performance Trade-off Between Small and Large Language Models
par: Garg, Anandita, et autres
Publié: (2025)
par: Garg, Anandita, et autres
Publié: (2025)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
par: Wang, Jiawei, et autres
Publié: (2024)
par: Wang, Jiawei, et autres
Publié: (2024)
Thermonuclear Explosions for Large-Scale Carbon Sequestration: A Call for Exploration
par: Haverly, Andy, et autres
Publié: (2025)
par: Haverly, Andy, et autres
Publié: (2025)
Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
par: Atkinson, David
Publié: (2025)
par: Atkinson, David
Publié: (2025)
Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
par: Abolghasemi, MAhdi, et autres
Publié: (2023)
par: Abolghasemi, MAhdi, et autres
Publié: (2023)
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data
par: Zeng, Jinwei, et autres
Publié: (2024)
par: Zeng, Jinwei, et autres
Publié: (2024)
Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
par: Lince, M. Generali, et autres
Publié: (2026)
par: Lince, M. Generali, et autres
Publié: (2026)
VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding
par: Wu, Yinghao, et autres
Publié: (2026)
par: Wu, Yinghao, et autres
Publié: (2026)
Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
par: Sun, Yuanyuan, et autres
Publié: (2026)
par: Sun, Yuanyuan, et autres
Publié: (2026)
Social Physics Informed Diffusion Model for Crowd Simulation
par: Chen, Hongyi, et autres
Publié: (2024)
par: Chen, Hongyi, et autres
Publié: (2024)
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
par: Jayawardana, Vindula, et autres
Publié: (2024)
par: Jayawardana, Vindula, et autres
Publié: (2024)
Open Problems in Machine Unlearning for AI Safety
par: Barez, Fazl, et autres
Publié: (2025)
par: Barez, Fazl, et autres
Publié: (2025)
Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
par: Li, Na, et autres
Publié: (2024)
par: Li, Na, et autres
Publié: (2024)
Documents similaires
-
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
par: Wang, Xinlei, et autres
Publié: (2026) -
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
par: Xie, Haijin, et autres
Publié: (2025) -
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
par: Jiang, Lei, et autres
Publié: (2025) -
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
par: Jiang, Lei, et autres
Publié: (2026) -
Unified Uncertainty Estimation for Cognitive Diagnosis Models
par: Wang, Fei, et autres
Publié: (2024)