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05/08/2023
Code Execution with Pre-trained Language Models
Code execution is a fundamental aspect of programming language semantics...
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03/13/2023
InferFix: End-to-End Program Repair with LLMs
Software development life cycle is profoundly influenced by bugs: their ...
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08/29/2022
Exploring and Evaluating Personalized Models for Code Generation
Large Transformer models achieved the state-of-the-art status for Natura...
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05/23/2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
In software development, it is common for programmers to copy-paste code...
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03/23/2022
Methods2Test: A dataset of focal methods mapped to test cases
Unit testing is an essential part of the software development process, w...
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03/17/2022
CodeReviewer: Pre-Training for Automating Code Review Activities
Code review is an essential part to software development lifecycle since...
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03/15/2022
ReACC: A Retrieval-Augmented Code Completion Framework
Code completion, which aims to predict the following code token(s) accor...
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09/17/2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Statistical language modeling and translation with transformers have fou...
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08/31/2021
MergeBERT: Program Merge Conflict Resolution via Neural Transformers
Collaborative software development is an integral part of the modern sof...
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06/18/2021
Learning to Generate Code Sketches
Traditional generative models are limited to predicting sequences of ter...
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05/17/2021
DeepMerge: Learning to Merge Programs
Program merging is ubiquitous in modern software development. Although c...
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04/16/2021
Generating Bug-Fixes Using Pretrained Transformers
Detecting and fixing bugs are two of the most important yet frustrating ...
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10/07/2020
PyMT5: multi-mode translation of natural language and Python code with transformers
Simultaneously modeling source code and natural language has many exciti...
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09/17/2020
GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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09/11/2020
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers
Unit testing represents the foundational basis of the software testing p...
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09/11/2020
Unit Test Case Generation with Transformers
Automated Unit Test Case generation has been the focus of extensive lite...
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05/16/2020
IntelliCode Compose: Code Generation Using Transformer
In software development through integrated development environments (IDE...
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12/02/2019
Large-scale text processing pipeline with Apache Spark
In this paper, we evaluate Apache Spark for a data-intensive machine lea...
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11/30/2019
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters
In this paper, we evaluate training of deep recurrent neural networks wi...
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11/29/2019
Pythia: AI-assisted Code Completion System
In this paper, we propose a novel end-to-end approach for AI-assisted co...
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01/22/2019
Using Big Data Technologies for HEP Analysis
The HEP community is approaching an era were the excellent performances ...
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10/31/2017