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Nathan Cooper — most-cited papers & profile · AI for Code
← authors
·
overview
Nathan Cooper
8
papers ·
46
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
An Empirical Study on the Usage of Transformer Models for Code Completion
2021 · 17 citations
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
2021 · 9 citations
An Empirical Study on the Usage of BERT Models for Code Completion
2021 · 8 citations
Toward a Theory of Causation for Interpreting Neural Code Models
2023 · 6 citations
Using Transfer Learning for Code-Related Tasks
2022 · 5 citations
Perplexed: Understanding When Large Language Models are Confused
2024 · 1 citations
On the Generalizability of Transformer Models to Code Completions of Different Lengths
2025
Stable Code Technical Report
2024
Top co-authors
Denys Poshyvanyk
· 6
Gabriele Bavota
· 5
Antonio Mastropaolo
· 3
David Nader Palacio
· 2
Luca Pascarella
· 2
Massimiliano di Penta
· 2
Matteo Ciniselli
· 2
Rocco Oliveto
· 2
Simone Scalabrino
· 2
Álvaro Rodríguez
· 1
Ashish Datta
· 1
Carlos Riquelme
· 1
Topics
Code Models
Code Generation
Software Engineering
Program Repair
Code Translation
Bug Detection
Code Understanding