- Anthology ID:
- 2023.conll-babylm.16
- 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:
- 186–197
- Language:
- URL:
- https://aclanthology.org/2023.conll-babylm.16
- DOI:
- 10.18653/v1/2023.conll-babylm.16
- Cite (ACL):
- Xingmeng Zhao, Tongnian Wang, Sheri Osborn, and Anthony Rios. 2023. BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 186–197, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? (Zhao et al., CoNLL 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.conll-babylm.16.pdf