Active prompting with chain-of-thought for large language models
The increasing scale of large language models (LLMs) brings emergent abilities to various
complex tasks requiring reasoning, such as arithmetic and commonsense reasoning. It is …
complex tasks requiring reasoning, such as arithmetic and commonsense reasoning. It is …
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
Coreset selection is powerful in reducing computational costs and accelerating data
processing for deep learning algorithms. It strives to identify a small subset from large-scale …
processing for deep learning algorithms. It strives to identify a small subset from large-scale …
Coreset selection with prioritized multiple objectives
Coreset selection is powerful in reducing computational costs and accelerating data
processing for deep learning algorithms. It strives to identify a small subset from large-scale …
processing for deep learning algorithms. It strives to identify a small subset from large-scale …
Data-Efficient and Generalizable Machine Learning in Complex Environments
X Xia - 2024 - ses.library.usyd.edu.au
In an age marked by an unprecedented influx of data across diverse domains, the quest for
effective machine learning (ML) solutions has increased significantly. However, data …
effective machine learning (ML) solutions has increased significantly. However, data …