- Anthology ID:
- 2023.conll-babylm.13
- 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:
- 158–170
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.13
- DOI:
- 10.18653/v1/2023.conll-babylm.13
- Cite (ACL):
- Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, and Ercong Nie. 2023. Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 158–170, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models (Zhang et al., CoNLL 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.conll-babylm.13.pdf