4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
Online Continual Knowledge Learning for Language Models
Yuhao Wu, Tongjun Shi, Karthick Sharma +2
Large Language Models (LLMs) serve as repositories of extensive world knowledge, enabling them to perform tasks such as question-answering and fact-checking. However, this knowledg…
cs.DB2023★ 4 cited
Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]
Shuhao Zhang, Xianzhi Zeng, Yuhao Wu +1
Large Language Models (LLMs) have demonstrated extraordinary performance across a broad array of applications, from traditional language processing tasks to interpreting structured…
cs.LG2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision
Yuhao Wu, Xiaobo Xia, Jun Yu +4
Training a classifier exploiting a huge amount of supervised data is expensive or even prohibited in a situation, where the labeling cost is high. The remarkable progress in workin…