To Train or Not to Train: Predicting the Performance of Massively Multilingual Models
Shantanu Patankar, Omkar Gokhale, Onkar Litake, Aditya Mandke, Dipali Kadam
- Anthology ID:
- 2022.sumeval-1.2
- Volume:
- Proceedings of the First Workshop on Scaling Up Multilingual Evaluation
- Month:
- November
- Year:
- 2022
- Address:
- Online
- Editors:
- Kabir Ahuja, Antonios Anastasopoulos, Barun Patra, Graham Neubig, Monojit Choudhury, Sandipan Dandapat, Sunayana Sitaram, Vishrav Chaudhary
- Venue:
- SUMEval
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 8–12
- Language:
- URL:
- https://aclanthology.org/2022.sumeval-1.2
- DOI:
- Bibkey:
- Cite (ACL):
- Shantanu Patankar, Omkar Gokhale, Onkar Litake, Aditya Mandke, and Dipali Kadam. 2022. To Train or Not to Train: Predicting the Performance of Massively Multilingual Models. In Proceedings of the First Workshop on Scaling Up Multilingual Evaluation, pages 8–12, Online. Association for Computational Linguistics.
- Cite (Informal):
- To Train or Not to Train: Predicting the Performance of Massively Multilingual Models (Patankar et al., SUMEval 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.sumeval-1.2.pdf
Export citation
@inproceedings{patankar-etal-2022-train,
title = "To Train or Not to Train: Predicting the Performance of Massively Multilingual Models",
author = "Patankar, Shantanu and
Gokhale, Omkar and
Litake, Onkar and
Mandke, Aditya and
Kadam, Dipali",
editor = "Ahuja, Kabir and
Anastasopoulos, Antonios and
Patra, Barun and
Neubig, Graham and
Choudhury, Monojit and
Dandapat, Sandipan and
Sitaram, Sunayana and
Chaudhary, Vishrav",
booktitle = "Proceedings of the First Workshop on Scaling Up Multilingual Evaluation",
month = nov,
year = "2022",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sumeval-1.2",
pages = "8--12",
}
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%0 Conference Proceedings %T To Train or Not to Train: Predicting the Performance of Massively Multilingual Models %A Patankar, Shantanu %A Gokhale, Omkar %A Litake, Onkar %A Mandke, Aditya %A Kadam, Dipali %Y Ahuja, Kabir %Y Anastasopoulos, Antonios %Y Patra, Barun %Y Neubig, Graham %Y Choudhury, Monojit %Y Dandapat, Sandipan %Y Sitaram, Sunayana %Y Chaudhary, Vishrav %S Proceedings of the First Workshop on Scaling Up Multilingual Evaluation %D 2022 %8 November %I Association for Computational Linguistics %C Online %F patankar-etal-2022-train %U https://aclanthology.org/2022.sumeval-1.2 %P 8-12
Markdown (Informal)
[To Train or Not to Train: Predicting the Performance of Massively Multilingual Models](https://aclanthology.org/2022.sumeval-1.2) (Patankar et al., SUMEval 2022)
- To Train or Not to Train: Predicting the Performance of Massively Multilingual Models (Patankar et al., SUMEval 2022)
ACL
- Shantanu Patankar, Omkar Gokhale, Onkar Litake, Aditya Mandke, and Dipali Kadam. 2022. To Train or Not to Train: Predicting the Performance of Massively Multilingual Models. In Proceedings of the First Workshop on Scaling Up Multilingual Evaluation, pages 8–12, Online. Association for Computational Linguistics.