26 citations · 56 across the 10 of their papers we have counts for
5 papers · 1 filter
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications
Mahaman Sanoussi Yahaya Alassan, Jessica López Espejel, Merieme Bouhandi +2
Large Language Models (LLMs) have recently demonstrated remarkable performance in various Natural Language Processing (NLP) applications, such as sentiment analysis, content genera…
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction
El Mehdi Chouham, Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan +2
The field of programming has a diversity of paradigms that are used according to the working framework. While current neural code generation methods are able to learn and generate…
A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text
Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, El Mehdi Chouham +2
Java Code Generation consists in generating automatically Java code from a Natural Language Text. This NLP task helps in increasing programmers' productivity by providing them with…
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts
Jessica López Espejel, El Hassane Ettifouri, Mahaman Sanoussi Yahaya Alassan +2
Large Language Models (LLMs) have exhibited remarkable performance on various Natural Language Processing (NLP) tasks. However, there is a current hot debate regarding their reason…
JaCoText: A Pretrained Model for Java Code-Text Generation
Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, Walid Dahhane +1
Pretrained transformer-based models have shown high performance in natural language generation task. However, a new wave of interest has surged: automatic programming language gene…