5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 5 cited
Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue
Shiwei Zhang, Mingfang Wu, Xiuzhen Zhang
In support of open and reproducible research, there has been a rapidly increasing number of datasets made available for research. As the availability of datasets increases, it beco…
cs.CL2023
Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation
Xianjie Wu, Jian Yang, Tongliang Li +4
Incorporating external knowledge into dialogue generation (KIDG) is crucial for improving the correctness of response, where evidence fragments serve as knowledgeable snippets supp…
cs.CL2021★ 1 cited
Does QA-based intermediate training help fine-tuning language models for text classification?
Shiwei Zhang, Xiuzhen Zhang
Fine-tuning pre-trained language models for downstream tasks has become a norm for NLP. Recently it is found that intermediate training based on high-level inference tasks such as…