To Train or Not to Train: Predicting the Performance of Massively Multilingual Models

Shantanu Patankar; Omkar Gokhale; Onkar Litake; Aditya Mandke; Dipali Kadam

doi:10.18653/v1/2022.sumeval-1.2

To Train or Not to Train: Predicting the Performance of Massively Multilingual Models

Shantanu Patankar, Omkar Gokhale, Onkar Litake, Aditya Mandke, Dipali Kadam

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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:: 10.18653/v1/2022.sumeval-1.2
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)
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PDF:: https://aclanthology.org/2022.sumeval-1.2.pdf

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@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/",
    doi = "10.18653/v1/2022.sumeval-1.2",
    pages = "8--12"
}

Download as File

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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
%R 10.18653/v1/2022.sumeval-1.2
%U https://aclanthology.org/2022.sumeval-1.2/
%U https://doi.org/10.18653/v1/2022.sumeval-1.2
%P 8-12

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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.