94 citations · 105 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 4 cited
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?
Hieu Nguyen, Long Phan, James Anibal +2
Text summarization is a challenging task within natural language processing that involves text generation from lengthy input sequences. While this task has been widely studied in E…
cs.AI2021★ 7 cited
CoTexT: Multi-task Learning with Code-Text Transformer
Long Phan, Hieu Tran, Daniel Le +4
We present CoTexT, a pre-trained, transformer-based encoder-decoder model that learns the representative context between natural language (NL) and programming language (PL). Using…
cs.CL2021★ 94 cited
SciFive: a text-to-text transformer model for biomedical literature
Long N. Phan, James T. Anibal, Hieu Tran +4
In this report, we introduce SciFive, a domain-specific T5 model that has been pre-trained on large biomedical corpora. Our model outperforms the current SOTA methods (i.e. BERT, B…