research
∙
05/31/2023
Majority Rule: better patching via Self-Consistency
Large Language models (LLMs) can be induced to solve non-trivial problem...
share
research
∙
04/13/2023
Improving Few-Shot Prompts with Relevant Static Analysis Products
Large Language Models (LLM) are a new class of computation engines, "pro...
research
∙
01/04/2023
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Reverse engineering binaries is required to understand and analyse progr...
research
∙
07/09/2022
Few-shot training LLMs for project-specific code-summarization
Very large language models (LLMs), such as GPT-3 and Codex have achieved...
research
∙
06/15/2022
NatGen: Generative pre-training by "Naturalizing" source code
Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) f...
research
∙
06/02/2022
Learning code summarization from a small and local dataset
Foundation models (e.g., CodeBERT, GraphCodeBERT, CodeT5) work well for ...
research
∙
12/03/2021
Multilingual training for Software Engineering
Well-trained machine-learning models, which leverage large amounts of op...
research
∙
04/29/2021
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
Beginning programmers struggle with the complex grammar of modern progra...
research
∙
03/09/2021
Finding Inlined Functions in Optimized Binaries
Much software, whether beneficent or malevolent, is distributed only as ...
research
∙
08/24/2020
Patching as Translation: the Data and the Metaphor
Machine Learning models from other fields, like Computational Linguistic...
research
∙
10/14/2019
Learning Lenient Parsing Typing via Indirect Supervision
Both professional coders and teachers frequently deal with imperfect (fr...
research
∙
03/15/2019
BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes
Fault-detection, localization, and repair methods are vital to software ...
research
∙
06/21/2018
Whom Are You Going to Call?: Determinants of @-Mentions in GitHub Discussions
Open Source Software (OSS) project success relies on crowd contributions...
research
∙
09/18/2017
A Survey of Machine Learning for Big Code and Naturalness
Research at the intersection of machine learning, programming languages,...
research
∙
07/26/2016