64 citations · 70 across the 7 of their papers we have counts for
4 papers · 1 filter
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Han Xie, Da Zheng, Jun Ma +9
Model pre-training on large text corpora has been demonstrated effective for various downstream applications in the NLP domain. In the graph mining domain, a similar analogy can be…
Retrieval augmentation of large language models for lay language generation
Yue Guo, Wei Qiu, Gondy Leroy +2
Recent lay language generation systems have used Transformer models trained on a parallel corpus to increase health information accessibility. However, the applicability of these m…
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
Hanwen Xu, Jiayou Zhang, Zhirui Wang +5
In the expansion of biomedical dataset, the same category may be labeled with different terms, thus being tedious and onerous to curate these terms. Therefore, automatically mappin…
Graphine: A Dataset for Graph-aware Terminology Definition Generation
Zequn Liu, Shukai Wang, Yiyang Gu +3
Precisely defining the terminology is the first step in scientific communication. Developing neural text generation models for definition generation can circumvent the labor-intens…