Zeyu Sun

OCoR

2020

Code retrieval helps developers reuse code snippets in the open-source projects. Given a natural language description, code retrieval aims to search for the most relevant code relevant among a set of code snippets. Existing state-of-the-art …

Predicting Solar Flares using CNN and LSTM on Two Solar Cycles of Active Region Data

2021

We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that do not produce any flare within $\pm …

A Syntax-Guided Edit Decoder for Neural Program Repair

2021 · arXiv (Cornell University)

Automated Program Repair (APR) helps improve the efficiency of software development and maintenance. Recent APR techniques use deep learning, particularly the encoder-decoder architecture, to generate patches. Though existing DL-based APR approaches have proposed different encoder …

Automatic Program Repair with Improved Transformer

2023

The rise of Deep Learning (DL) has led researchers to explore techniques for Automatic Program Repair (APR) using DL. However, existing methods for APR suffer from issues such as small datasets, low accuracy, and long …

Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have significantly advanced software engineering (SE) tasks, with prompt engineering techniques enhancing their performance in code-related areas. However, the rapid development of foundational LLMs such as the non-reasoning model GPT-4o and …