1 citations · 1 across the 9 of their papers we have counts for
5 papers · 1 filter
Revisiting File Context for Source Code Summarization
Aakash Bansal, Chia-Yi Su, Collin McMillan
Source code summarization is the task of writing natural language descriptions of source code. A typical use case is generating short summaries of subroutines for use in API docume…
Modeling Programmer Attention as Scanpath Prediction
Aakash Bansal, Chia-Yi Su, Zachary Karas +4
This paper launches a new effort at modeling programmer attention by predicting eye movement scanpaths. Programmer attention refers to what information people intake when performin…
Distilled GPT for Source Code Summarization
Chia-Yi Su, Collin McMillan
A code summary is a brief natural language description of source code. Summaries are usually only a single sentence long, and yet form the backbone of developer documentation. A sh…
Semantic Similarity Loss for Neural Source Code Summarization
Chia-Yi Su, Collin McMillan
This paper presents a procedure for and evaluation of using a semantic similarity metric as a loss function for neural source code summarization. Code summarization is the task of…
A Language Model of Java Methods with Train/Test Deduplication
Chia-Yi Su, Aakash Bansal, Vijayanta Jain +2
This tool demonstration presents a research toolkit for a language model of Java source code. The target audience includes researchers studying problems at the granularity level of…