2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.SE2022★ 2 cited
An Exploratory Study on Code Attention in BERT
Rishab Sharma, Fuxiang Chen, Fatemeh Fard +1
Many recent models in software engineering introduced deep neural models based on the Transformer architecture or use transformer-based Pre-trained Language Models (PLM) trained on…
cs.CL2022
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Rishab Sharma, Fuxiang Chen, Fatemeh Fard
Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple wa…
cs.PL2022★ 2 cited
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
Fuxiang Chen, Fatemeh Fard, David Lo +1
A recent study by Ahmed and Devanbu reported that using a corpus of code written in multilingual datasets to fine-tune multilingual Pre-trained Language Models (PLMs) achieves high…