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@@ -9,17 +9,12 @@ size_categories:
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  ---
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  If you find our dataset useful, please consider citing:
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- ```bibtex
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-
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  @inproceedings{li-etal-2023-synthetic,
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  title = "Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations",
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- author = "Li, Zhuoyan and
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- Zhu, Hangxiao and
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- Lu, Zhuoran and
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- Yin, Ming",
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- editor = "Bouamor, Houda and
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- Pino, Juan and
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- Bali, Kalika",
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  booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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  month = dec,
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  year = "2023",
@@ -28,4 +23,6 @@ If you find our dataset useful, please consider citing:
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  url = "https://aclanthology.org/2023.emnlp-main.647",
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  doi = "10.18653/v1/2023.emnlp-main.647",
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  pages = "10443--10461",
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- }
 
 
 
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  ---
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  If you find our dataset useful, please consider citing:
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+ <pre>
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+ <code>
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  @inproceedings{li-etal-2023-synthetic,
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  title = "Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations",
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+ author = "Li, Zhuoyan and Zhu, Hangxiao and Lu, Zhuoran and Yin, Ming",
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+ editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika",
 
 
 
 
 
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  booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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  month = dec,
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  year = "2023",
 
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  url = "https://aclanthology.org/2023.emnlp-main.647",
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  doi = "10.18653/v1/2023.emnlp-main.647",
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  pages = "10443--10461",
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+ }
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+ </code>
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+ </pre>