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
- 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
- Venue:
- CoNLL
- 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
- 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 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.conll-babylm.6.pdf