ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation

Jaap Jumelet; Michael Hanna; Marianne de Heer Kloots; Anna Langedijk; Charlotte Pouw; Oskar Van Der Wal

doi:10.18653/v1/2023.conll-babylm.6

ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation

Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, Oskar van der Wal

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Anthology ID:: 2023.conll-babylm.6
Volume:: Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Month:: December
Year:: 2023
Address:: Singapore
Editors:: Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell
Venues:: CoNLL | BabyLM | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 74–85
Language:
URL:: https://aclanthology.org/2023.conll-babylm.6/
DOI:: 10.18653/v1/2023.conll-babylm.6
Bibkey:
Cite (ACL):: Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, and Oskar van der Wal. 2023. ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 74–85, Singapore. Association for Computational Linguistics.
Cite (Informal):: ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation (Jumelet et al., CoNLL-BabyLM 2023)
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PDF:: https://aclanthology.org/2023.conll-babylm.6.pdf

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@inproceedings{jumelet-etal-2023-chapgtp,
    title = "{C}hap{GTP}, {ILLC}{'}s Attempt at Raising a {B}aby{LM}: Improving Data Efficiency by Automatic Task Formation",
    author = "Jumelet, Jaap  and
      Hanna, Michael  and
      de Heer Kloots, Marianne  and
      Langedijk, Anna  and
      Pouw, Charlotte  and
      van der Wal, Oskar",
    editor = "Warstadt, Alex  and
      Mueller, Aaron  and
      Choshen, Leshem  and
      Wilcox, Ethan  and
      Zhuang, Chengxu  and
      Ciro, Juan  and
      Mosquera, Rafael  and
      Paranjabe, Bhargavi  and
      Williams, Adina  and
      Linzen, Tal  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.conll-babylm.6/",
    doi = "10.18653/v1/2023.conll-babylm.6",
    pages = "74--85"
}

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%0 Conference Proceedings
%T ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation
%A Jumelet, Jaap
%A Hanna, Michael
%A de Heer Kloots, Marianne
%A Langedijk, Anna
%A Pouw, Charlotte
%A van der Wal, Oskar
%Y Warstadt, Alex
%Y Mueller, Aaron
%Y Choshen, Leshem
%Y Wilcox, Ethan
%Y Zhuang, Chengxu
%Y Ciro, Juan
%Y Mosquera, Rafael
%Y Paranjabe, Bhargavi
%Y Williams, Adina
%Y Linzen, Tal
%Y Cotterell, Ryan
%S Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F jumelet-etal-2023-chapgtp
%R 10.18653/v1/2023.conll-babylm.6
%U https://aclanthology.org/2023.conll-babylm.6/
%U https://doi.org/10.18653/v1/2023.conll-babylm.6
%P 74-85

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Markdown (Informal)

[ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation](https://aclanthology.org/2023.conll-babylm.6/) (Jumelet et al., CoNLL-BabyLM 2023)

ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation (Jumelet et al., CoNLL-BabyLM 2023)

ACL

Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, and Oskar van der Wal. 2023. ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 74–85, Singapore. Association for Computational Linguistics.