no code implementations • 17 Apr 2024 • Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, Merieme Bouhandi, Walid Dahhane, El Hassane Ettifouri
Large Language Models (LLMs) have become the go-to solution for many Natural Language Processing (NLP) tasks due to their ability to tackle various problems and produce high-quality results.
no code implementations • 10 Jul 2023 • El Mehdi Chouham, Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, Walid Dahhane, El Hassane Ettifouri
The field of programming has a diversity of paradigms that are used according to the working framework.
no code implementations • 10 Jun 2023 • Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, El Mehdi Chouham, Walid Dahhane, El Hassane Ettifouri
In this paper, we provide a comprehensive review of the evolution and progress of deep learning models in Java code generation task.
no code implementations • 21 May 2023 • Jessica López Espejel, El Hassane Ettifouri, Mahaman Sanoussi Yahaya Alassan, El Mehdi Chouham, Walid Dahhane
Our paper provides empirical evidence showcasing the superior performance of ChatGPT-4 in comparison to both ChatGPT-3. 5 and BARD in zero-shot setting throughout almost all evaluated tasks.
no code implementations • 22 Mar 2023 • Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, Walid Dahhane, El Hassane Ettifouri
This task consists of translating natural language instructions to a programming code.
no code implementations • RANLP 2021 • Jessica López Espejel, Gaël de Chalendar, Jorge Garcia Flores, Thierry Charnois, Ivan Vladimir Meza Ruiz
In this paper, we take out SERA from the biomedical domain to the general one by adapting its content-based method to successfully evaluate summaries from the general domain.