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06/13/2023
TRACED: Execution-aware Pre-training for Source Code
Most existing pre-trained language models for source code focus on learn...
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06/10/2023
Automated Code Editing with Search-Generate-Modify
Code editing is essential in evolving software development. Many automat...
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06/05/2023
CONCORD: Clone-aware Contrastive Learning for Source Code
Deep Learning (DL) models to analyze source code have shown immense prom...
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04/25/2023
TraceFixer: Execution Trace-Driven Program Repair
When debugging unintended program behavior, developers can often identif...
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12/20/2022
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
While pre-trained language models (LM) for code have achieved great succ...
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06/15/2022
NatGen: Generative pre-training by "Naturalizing" source code
Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) f...
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12/20/2021
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
Automatically locating vulnerable statements in source code is crucial t...
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10/08/2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Understanding the functional (dis)-similarity of source code is signific...
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09/03/2020
Deep Learning based Vulnerability Detection: Are We There Yet?
Automated detection of software vulnerabilities is a fundamental problem...
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08/24/2020