- Anthology ID:
- 2023.conll-babylm.8
- 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
- Venue:
- CoNLL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 89–97
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.8
- DOI:
- 10.18653/v1/2023.conll-babylm.8
- Bibkey:
- Cite (ACL):
- Lukas Edman and Lisa Bylinina. 2023. Too Much Information: Keeping Training Simple for BabyLMs. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 89–97, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- Too Much Information: Keeping Training Simple for BabyLMs (Edman & Bylinina, CoNLL 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.8.pdf
Export citation
@inproceedings{edman-bylinina-2023-much,
title = "Too Much Information: Keeping Training Simple for {B}aby{LM}s",
author = "Edman, Lukas and
Bylinina, Lisa",
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.8",
doi = "10.18653/v1/2023.conll-babylm.8",
pages = "89--97",
}
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%0 Conference Proceedings %T Too Much Information: Keeping Training Simple for BabyLMs %A Edman, Lukas %A Bylinina, Lisa %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 edman-bylinina-2023-much %R 10.18653/v1/2023.conll-babylm.8 %U https://aclanthology.org/2023.conll-babylm.8 %U https://doi.org/10.18653/v1/2023.conll-babylm.8 %P 89-97
Markdown (Informal)
[Too Much Information: Keeping Training Simple for BabyLMs](https://aclanthology.org/2023.conll-babylm.8) (Edman & Bylinina, CoNLL 2023)
- Too Much Information: Keeping Training Simple for BabyLMs (Edman & Bylinina, CoNLL 2023)
ACL
- Lukas Edman and Lisa Bylinina. 2023. Too Much Information: Keeping Training Simple for BabyLMs. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 89–97, Singapore. Association for Computational Linguistics.