- 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
- Bibkey:
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.16.pdf
Export citation
@inproceedings{zhao-etal-2023-babystories,
title = "{B}aby{S}tories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?",
author = "Zhao, Xingmeng and
Wang, Tongnian and
Osborn, Sheri and
Rios, Anthony",
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.16",
doi = "10.18653/v1/2023.conll-babylm.16",
pages = "186--197",
}
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%0 Conference Proceedings %T BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? %A Zhao, Xingmeng %A Wang, Tongnian %A Osborn, Sheri %A Rios, Anthony %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 zhao-etal-2023-babystories %R 10.18653/v1/2023.conll-babylm.16 %U https://aclanthology.org/2023.conll-babylm.16 %U https://doi.org/10.18653/v1/2023.conll-babylm.16 %P 186-197
Markdown (Informal)
[BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?](https://aclanthology.org/2023.conll-babylm.16) (Zhao et al., CoNLL 2023)
- BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? (Zhao et al., CoNLL 2023)
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.