84 citations · 190 across the 34 of their papers we have counts for
8 papers · 1 filter
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi +1
Automated unit test generators, particularly search-based software testing tools like EvoSuite, are capable of generating tests with high coverage. Although these generators allevi…
Long Code Arena: a Set of Benchmarks for Long-Context Code Models
Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov +8
Nowadays, the fields of code and natural language processing are evolving rapidly. In particular, models become better at processing long context windows - supported context sizes…
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
Aral de Moor, Arie van Deursen, Maliheh Izadi
Transformer-based language models are highly effective for code completion, with much research dedicated to enhancing the content of these completions. Despite their effectiveness,…
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
Jonathan Katzy, Răzvan-Mihai Popescu, Arie van Deursen +1
Does the training of large language models potentially infringe upon code licenses? Furthermore, are there any datasets available that can be safely used for training these models…
Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study
Tim van Dam, Frank van der Heijden, Philippe de Bekker +3
Language model-based code completion models have quickly grown in use, helping thousands of developers write code in many different programming languages. However, research on code…
Language Models for Code Completion: A Practical Evaluation
Maliheh Izadi, Jonathan Katzy, Tim van Dam +3
Transformer-based language models for automatic code completion have shown great promise so far, yet the evaluation of these models rarely uses real data. This study provides both…
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk, Sergey Titov, Maliheh Izadi
Integrated Development Environments (IDEs) have become central to modern software development, especially with the integration of Artificial Intelligence (AI) to enhance programmin…
Traces of Memorisation in Large Language Models for Code
Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
Large language models have gained significant popularity because of their ability to generate human-like text and potential applications in various fields, such as Software Enginee…