Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models

Zheyu Zhang; Han Yang; Bolei Ma; David Rügamer; Ercong Nie

doi:10.18653/v1/2023.conll-babylm.13

Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models

Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie

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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)
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PDF:: https://aclanthology.org/2023.conll-babylm.13.pdf

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@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"
}

Download as File

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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

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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.