monot5-3b-inpars-v2-quora-promptagator is a monoT5-3B model finetuned on Quora synthetic data generated by InPars.
Currently, if you use this tool you can cite the original InPars paper published at SIGIR or InPars-v2.
@inproceedings{inpars,
author = {Bonifacio, Luiz and Abonizio, Hugo and Fadaee, Marzieh and Nogueira, Rodrigo},
title = {{InPars}: Unsupervised Dataset Generation for Information Retrieval},
year = {2022},
isbn = {9781450387323},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3477495.3531863},
doi = {10.1145/3477495.3531863},
booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {2387–2392},
numpages = {6},
keywords = {generative models, large language models, question generation, synthetic datasets, few-shot models, multi-stage ranking},
location = {Madrid, Spain},
series = {SIGIR '22}
}
@misc{inparsv2,
doi = {10.48550/ARXIV.2301.01820},
url = {https://arxiv.org/abs/2301.01820},
author = {Jeronymo, Vitor and Bonifacio, Luiz and Abonizio, Hugo and Fadaee, Marzieh and Lotufo, Roberto and Zavrel, Jakub and Nogueira, Rodrigo},
title = {{InPars-v2}: Large Language Models as Efficient Dataset Generators for Information Retrieval},
publisher = {arXiv},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}