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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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05/02/2023
Automated Code generation for Information Technology Tasks in YAML through Large Language Models
The recent improvement in code generation capabilities due to the use of...
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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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11/10/2021
Data-Driven AI Model Signal-Awareness Enhancement and Introspection
AI modeling for source code understanding tasks has been making signific...
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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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09/07/2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Identifying vulnerable code is a precautionary measure to counter softwa...
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11/25/2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
This work explores the signal awareness of AI models for source code und...
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06/22/2020
Exploring Software Naturalness through Neural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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06/22/2020
Exploring Software Naturalness throughNeural Language Models
The Software Naturalness hypothesis argues that programming languages ca...
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06/15/2020