Yangruibo Ding | DeepAI

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Dan Roth
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Parminder Bhatia
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Rahul Krishna
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Premkumar Devanbu
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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...

0 Yangruibo Ding, et al. ∙

∙ 06/10/2023

Automated Code Editing with Search-Generate-Modify

Code editing is essential in evolving software development. Many automat...

0 Changshu Liu, et al. ∙

∙ 06/05/2023

CONCORD: Clone-aware Contrastive Learning for Source Code

Deep Learning (DL) models to analyze source code have shown immense prom...

0 Yangruibo Ding, et al. ∙

∙ 04/25/2023

TraceFixer: Execution Trace-Driven Program Repair

When debugging unintended program behavior, developers can often identif...

0 Islem Bouzenia, et al. ∙

∙ 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...

0 Yangruibo Ding, et al. ∙

∙ 06/15/2022

NatGen: Generative pre-training by "Naturalizing" source code

Pre-trained Generative Language models (e.g. PLBART, CodeT5, SPT-Code) f...

0 Saikat Chakraborty, et al. ∙

∙ 12/20/2021

VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements

Automatically locating vulnerable statements in source code is crucial t...

0 Yangruibo Ding, et al. ∙

∙ 10/08/2021

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts

Understanding the functional (dis)-similarity of source code is signific...

0 Yangruibo Ding, et al. ∙

∙ 09/03/2020

Deep Learning based Vulnerability Detection: Are We There Yet?

Automated detection of software vulnerabilities is a fundamental problem...

0 Saikat Chakraborty, et al. ∙

∙ 08/24/2020

Patching as Translation: the Data and the Metaphor

Machine Learning models from other fields, like Computational Linguistic...

0 Yangruibo Ding, et al. ∙

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