5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 4 cited
Exploring the Robustness of In-Context Learning with Noisy Labels
Chen Cheng, Xinzhi Yu, Haodong Wen +4
Recently, the mysterious In-Context Learning (ICL) ability exhibited by Transformer architectures, especially in large language models (LLMs), has sparked significant research inte…
cs.CV2023★ 5 cited
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng, Jingkuan Song, Xiaosu Zhu +3
The focus of this study is on Unsupervised Continual Learning (UCL), as it presents an alternative to Supervised Continual Learning which needs high-quality manual labeled data. Th…