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@@ -20,12 +20,14 @@ I submitted prediction files to [the GLUE leaderboard](https://gluebenchmark.com
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  Yoshitomo Matsubara: **"torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP"** at *EMNLP 2023 Workshop for Natural Language Processing Open Source Software (NLP-OSS)*
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- [[OpenReview](https://openreview.net/forum?id=A5Axeeu1Bo)] [[Preprint](https://arxiv.org/abs/2310.17644)]
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  ```bibtex
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- @article{matsubara2023torchdistill,
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  title={{torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP}},
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  author={Matsubara, Yoshitomo},
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- journal={arXiv preprint arXiv:2310.17644},
 
 
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  year={2023}
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  }
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  ```
 
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  Yoshitomo Matsubara: **"torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP"** at *EMNLP 2023 Workshop for Natural Language Processing Open Source Software (NLP-OSS)*
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+ [[Paper](https://aclanthology.org/2023.nlposs-1.18/)] [[OpenReview](https://openreview.net/forum?id=A5Axeeu1Bo)] [[Preprint](https://arxiv.org/abs/2310.17644)]
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  ```bibtex
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+ @inproceedings{matsubara2023torchdistill,
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  title={{torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP}},
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  author={Matsubara, Yoshitomo},
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+ booktitle={Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)},
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+ publisher={Empirical Methods in Natural Language Processing},
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+ pages={153--164},
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  year={2023}
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  }
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  ```