CLIMB – Curriculum Learning for Infant-inspired Model Building
Richard Diehl Martinez, Hope McGovern, Zebulon Goriely, Christopher Davis, Andrew Caines, Paula Buttery, Lisa Beinborn
- Anthology ID:
- 2023.conll-babylm.10
- 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:
- 112–127
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.10
- DOI:
- 10.18653/v1/2023.conll-babylm.10
- Bibkey:
- Cite (ACL):
- Richard Diehl Martinez, Hope McGovern, Zebulon Goriely, Christopher Davis, Andrew Caines, Paula Buttery, and Lisa Beinborn. 2023. CLIMB – Curriculum Learning for Infant-inspired Model Building. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 112–127, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- CLIMB – Curriculum Learning for Infant-inspired Model Building (Martinez et al., CoNLL 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.10.pdf
Export citation
@inproceedings{martinez-etal-2023-climb,
title = "{CLIMB} {--} Curriculum Learning for Infant-inspired Model Building",
author = "Martinez, Richard Diehl and
McGovern, Hope and
Goriely, Zebulon and
Davis, Christopher and
Caines, Andrew and
Buttery, Paula and
Beinborn, 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.10",
doi = "10.18653/v1/2023.conll-babylm.10",
pages = "112--127",
}
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%0 Conference Proceedings %T CLIMB – Curriculum Learning for Infant-inspired Model Building %A Martinez, Richard Diehl %A McGovern, Hope %A Goriely, Zebulon %A Davis, Christopher %A Caines, Andrew %A Buttery, Paula %A Beinborn, 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 martinez-etal-2023-climb %R 10.18653/v1/2023.conll-babylm.10 %U https://aclanthology.org/2023.conll-babylm.10 %U https://doi.org/10.18653/v1/2023.conll-babylm.10 %P 112-127
Markdown (Informal)
[CLIMB – Curriculum Learning for Infant-inspired Model Building](https://aclanthology.org/2023.conll-babylm.10) (Martinez et al., CoNLL 2023)
- CLIMB – Curriculum Learning for Infant-inspired Model Building (Martinez et al., CoNLL 2023)
ACL
- Richard Diehl Martinez, Hope McGovern, Zebulon Goriely, Christopher Davis, Andrew Caines, Paula Buttery, and Lisa Beinborn. 2023. CLIMB – Curriculum Learning for Infant-inspired Model Building. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 112–127, Singapore. Association for Computational Linguistics.