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Found 3 papers, 2 papers with code
Evaluating the Generation Capabilities of Large Chinese Language Models
This paper unveils CG-Eval, the first-ever comprehensive and automated evaluation framework designed for assessing the generative capabilities of large Chinese language models across a spectrum of academic disciplines.
Dynamic GPU Energy Optimization for Machine Learning Training Workloads
This paper presents GPOEO, an online GPU energy optimization framework for machine learning training workloads.
Practical and Private Heterogeneous Federated Learning
Heterogeneous federated learning (HFL) enables clients with different computation/communication capabilities to collaboratively train their own customized models, in which the knowledge of models is shared via clients' predictions on a public dataset.
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