30 citations · 46 across the 11 of their papers we have counts for
13 papers
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…
Creativity, Generative AI, and Software Development: A Research Agenda
Victoria Jackson, Bogdan Vasilescu, Daniel Russo +7
Creativity has always been considered a major differentiator to separate the good from the great, and we believe the importance of creativity for software development will only inc…
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…