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Vincent J. Hellendoorn — most-cited papers & profile · AI for Code
← authors
·
overview
Vincent J. Hellendoorn
11
papers ·
560
citations ·
21
h-index
Google (United States) · Carnegie Mellon University
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Most-cited papers
A Systematic Evaluation of Large Language Models of Code
2022 · 498 citations
CAT-LM: Training Language Models on Aligned Code And Tests
2023 · 37 citations
Patching as Translation: the Data and the Metaphor
2020 · 11 citations
Using an LLM to Help With Code Understanding
2023 · 5 citations
Large Language Models for Test-Free Fault Localization
2023 · 5 citations
AI for Low-Code for AI
2023 · 3 citations
Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
2024 · 1 citations
Are My Invariants Valid? A Learning Approach
2019
Memorization and Generalization in Neural Code Intelligence Models
2021
Learning Defect Prediction from Unrealistic Data
2023
An Exploratory Study of ML Sketches and Visual Code Assistants
2024
Top co-authors
Claire Le Goues
· 3
Aidan Z.H. Yang
· 2
Nikitha Rao
· 2
Premkumar Devanbu
· 2
Ruben Martins
· 2
Uri Alon
· 2
Aftab Hussain
· 1
Alessandro Orso
· 1
Andrew Macvean
· 1
Baishakhi Ray
· 1
Bogdan Vasilescu
· 1
Brad A. Myers
· 1
Topics
Software Engineering
Code Models
Code Generation
Code Understanding
Testing
Bug Detection
Program Repair
Code Translation
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