@inproceedings{chobey-etal-2023-training,
title = "Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?",
author = "Chobey, Aryaman and
Smith, Oliver and
Wang, Anzi and
Prasad, Grusha",
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.9",
doi = "10.18653/v1/2023.conll-babylm.9",
pages = "98--111",
}
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%0 Conference Proceedings
%T Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?
%A Chobey, Aryaman
%A Smith, Oliver
%A Wang, Anzi
%A Prasad, Grusha
%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 chobey-etal-2023-training
%R 10.18653/v1/2023.conll-babylm.9
%U https://aclanthology.org/2023.conll-babylm.9
%U https://doi.org/10.18653/v1/2023.conll-babylm.9
%P 98-111
Markdown (Informal)
[Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?](https://aclanthology.org/2023.conll-babylm.9) (Chobey et al., CoNLL 2023)
ACL