English
retrieval
question answering
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@@ -145,21 +145,22 @@ If you use any part of this work, please consider citing the paper as follows:
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  ```bibtex
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  @inproceedings{molfese-etal-2024-zebra,
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- title = "ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering",
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  author = "Molfese, Francesco Maria and
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  Conia, Simone and
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  Orlando, Riccardo and
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  Navigli, Roberto",
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- editor = "",
 
 
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  booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
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  month = nov,
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  year = "2024",
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- address = "Miami",
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  publisher = "Association for Computational Linguistics",
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- url = "",
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- doi = "",
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- pages = "",
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- abstract = "",
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  }
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  ```
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  ```bibtex
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  @inproceedings{molfese-etal-2024-zebra,
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+ title = "{ZEBRA}: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering",
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  author = "Molfese, Francesco Maria and
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  Conia, Simone and
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  Orlando, Riccardo and
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  Navigli, Roberto",
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+ editor = "Al-Onaizan, Yaser and
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+ Bansal, Mohit and
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+ Chen, Yun-Nung",
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  booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
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  month = nov,
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  year = "2024",
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+ address = "Miami, Florida, USA",
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  publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2024.emnlp-main.1251",
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+ doi = "10.18653/v1/2024.emnlp-main.1251",
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+ pages = "22429--22444"
 
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  }
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  ```
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