3 citations · 5 across the 4 of their papers we have counts for
4 papers
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
Hongfu Liu, Ye Wang
Large Language models (LLMs) possess the capability to engage In-context Learning (ICL) by leveraging a few demonstrations pertaining to a new downstream task as conditions. Howeve…
Dual Node and Edge Fairness-Aware Graph Partition
Tingwei Liu, Peizhao Li, Hongfu Liu
Fair graph partition of social networks is a crucial step toward ensuring fair and non-discriminatory treatments in unsupervised user analysis. Current fair partition methods typic…
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Many research efforts have been committed to unsupervised domain adaptation (DA) problems that transfer knowledge learned from a labeled source domain to an unlabeled target domain…
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zhaonan Li, Hongfu Liu
Generalized Zero-Shot Learning (GZSL) and Open-Set Recognition (OSR) are two mainstream settings that greatly extend conventional visual object recognition. However, the limitation…