71 citations · 103 across the 2 of their papers we have counts for
2 papers
cs.SE2022★ 32 cited
GypSum: Learning Hybrid Representations for Code Summarization
Yu Wang, Yu Dong, Xuesong Lu +1
Code summarization with deep learning has been widely studied in recent years. Current deep learning models for code summarization generally follow the principle in neural machine…
cs.LG2020★ 71 cited
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models taken from NLP. These LMs reach for new prediction frontiers…