72 citations · 77 across the 3 of their papers we have counts for
3 papers
q-bio.QM2023★ 72 cited
Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT
Jingye Yang, Cong Liu, Wendy Deng +4
We hypothesize that large language models (LLMs) based on the transformer architecture can enable automated detection of clinical phenotype terms, including terms not documented in…
cs.LG2023★ 3 cited
Classification of integers based on residue classes via modern deep learning algorithms
Da Wu, Jingye Yang, Mian Umair Ahsan +1
Judging whether an integer can be divided by prime numbers such as 2 or 3 may appear trivial to human beings, but can be less straightforward for computers. Here, we tested multipl…
cs.SE2021★ 2 cited
An Empirical Study on Tensor Shape Faults in Deep Learning Systems
Dangwei Wu, Beijun Shen, Yuting Chen
Software developers frequently adopt deep learning (DL) libraries to incorporate learning solutions into software systems. However, misuses of these libraries can cause various DL…