14 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CL2023
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
Hongyuan Dong, Weinan Zhang, Wanxiang Che
Prompting methods have shown impressive performance in a variety of text mining tasks and applications, especially few-shot ones. Despite the promising prospects, the performance o…
cs.CL2022★ 14 cited
MetaPrompting: Learning to Learn Better Prompts
Yutai Hou, Hongyuan Dong, Xinghao Wang +2
Prompting method is regarded as one of the crucial progress for few-shot nature language processing. Recent research on prompting moves from discrete tokens based ``hard prompts''…
cs.LG2020★ 13 cited
Variational Autoencoder for Anti-Cancer Drug Response Prediction
Hongyuan Dong, Jiaqing Xie, Zhi Jing +1
Cancer is a primary cause of human death, but discovering drugs and tailoring cancer therapies are expensive and time-consuming. We seek to facilitate the discovery of new drugs an…