163 citations · 485 across the 34 of their papers we have counts for
7 papers · 2 filters
Answer Summarization for Technical Queries: Benchmark and New Approach
Yang Chengran, Bowen Xu, Ferdian Thung +8
Prior studies have demonstrated that approaches to generate an answer summary for a given technical query in Software Question and Answer (SQA) sites are desired. We find that exis…
Compressing Pre-trained Models of Code into 3 MB
Jieke Shi, Zhou Yang, Bowen Xu +2
Although large pre-trained models of code have delivered significant advancements in various code processing tasks, there is an impediment to the wide and fluent adoption of these…
PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models
Junda He, Bowen Xu, Zhou Yang +3
Stack Overflow is often viewed as the most influential Software Question Answer (SQA) website with millions of programming-related questions and answers. Tags play a critical role…
Natural Attack for Pre-trained Models of Code
Zhou Yang, Jieke Shi, Junda He +1
Pre-trained models of code have achieved success in many important software engineering tasks. However, these powerful models are vulnerable to adversarial attacks that slightly pe…
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?
chengran Yang, Bowen Xu, Junaed younus Khan +4
APIs (Application Programming Interfaces) are reusable software libraries and are building blocks for modern rapid software development. Previous research shows that programmers fr…
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?
Jieke Shi, Zhou Yang, Junda He +2
Statistical language models on source code have successfully assisted software engineering tasks. However, developers can create or pick arbitrary identifiers when writing source c…