Correct Metadata for
- 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
- Venues:
- CoNLL | BabyLM | WS
- 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
- Bibkey:
- 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-BabyLM 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.conll-babylm.13.pdf
Export citation
@inproceedings{zhang-etal-2023-babys, title = "Baby`s {C}o{T}hought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models", author = {Zhang, Zheyu and Yang, Han and Ma, Bolei and R{\"u}gamer, David and Nie, Ercong}, 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.13/", doi = "10.18653/v1/2023.conll-babylm.13", pages = "158--170" }
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%0 Conference Proceedings %T Baby‘s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models %A Zhang, Zheyu %A Yang, Han %A Ma, Bolei %A Rügamer, David %A Nie, Ercong %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 zhang-etal-2023-babys %R 10.18653/v1/2023.conll-babylm.13 %U https://aclanthology.org/2023.conll-babylm.13/ %U https://doi.org/10.18653/v1/2023.conll-babylm.13 %P 158-170
Markdown (Informal)
[Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models](https://aclanthology.org/2023.conll-babylm.13/) (Zhang et al., CoNLL-BabyLM 2023)
- Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models (Zhang et al., CoNLL-BabyLM 2023)
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.