AE&QG LMs
Collection
These models (intelia-lab-uah's) are the results of the research presented in the following paper: https://www.nature.com/articles/s41598-024-66472-5 • 19 items • Updated
This model is based on bigscience/mt0-base, licensed under the Apache License 2.0.
This repository contains a modified and fine-tuned version of the original model.
Modifications include:
A detailed description of the modifications, training procedure, and experimental setup can be found in the associated paper: Evaluating the performance of multilingual models in answer extraction and question generation.
All modifications were made by INTELIA.
If you use this model in your research, please cite the following paper: Evaluating the performance of multilingual models in answer extraction and question generation.
@article{moreno-cediel_evaluating_2024,
title = {Evaluating the performance of multilingual models in answer extraction and question generation},
volume = {14},
copyright = {2024 The Author(s)},
issn = {2045-2322},
url = {https://www.nature.com/articles/s41598-024-66472-5},
doi = {10.1038/s41598-024-66472-5},
language = {en},
number = {1},
urldate = {2025-01-10},
journal = {Scientific Reports},
author = {Moreno-Cediel, Antonio and del-Hoyo-Gabaldon, Jesus-Angel and Garcia-Lopez, Eva and Garcia-Cabot, Antonio and de-Fitero-Dominguez, David},
month = jul,
year = {2024},
note = {Publisher: Nature Publishing Group},
keywords = {Computer science, Software},
pages = {15477},
}
Base model
bigscience/mt0-base