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06/10/2023
Bootstrapping Code-Text Pretrained Language Model to Detect Inconsistency Between Code and Comment
Comments on source code serve as critical documentation for enabling dev...
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05/31/2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Code intelligence plays a key role in transforming modern software engin...
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05/13/2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Large language models (LLMs) pretrained on vast source code have achieve...
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05/09/2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
We present The Vault, an open-source, large-scale code-text dataset desi...
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05/02/2023
Class based Influence Functions for Error Detection
Influence functions (IFs) are a powerful tool for detecting anomalous ex...
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04/02/2023
Better Language Models of Code through Self-Improvement
Pre-trained language models for code (PLMCs) have gained attention in re...
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11/27/2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
Automated software debugging is a crucial task for improving the product...
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05/31/2022
Learning to Represent Programs with Code Hierarchies
Graph neural networks have been shown to produce impressive results for ...
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05/25/2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora
Despite the recent trend of developing and applying neural source code m...
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12/20/2021
Energy-bounded Learning for Robust Models of Code
In programming, learning code representations has a variety of applicati...
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12/13/2020
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Building deep learning models on source code has found many successful s...
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09/06/2020
Self-Supervised Learning for Code Retrieval and Summarization through Semantic-Preserving Program Transformations
Code retrieval and summarization are useful tasks for developers, but it...
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09/05/2020
TreeCaps: Tree-Based Capsule Networks for Source Code Processing
Recently program learning techniques have been proposed to process sourc...
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07/31/2020
On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations
With the prevalence of publicly available source code repositories to tr...
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06/10/2019
SAR: Learning Cross-Language API Mappings with Little Knowledge
To save manual effort, developers often translate programs from one prog...
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03/13/2018
