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README.md
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@@ -83,4 +83,18 @@ summarizer(chq)
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| eval_rouge1 | 54.32 |
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| eval_rouge2 | 38.08 |
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| eval_rougeL | 51.98 |
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| eval_rougeLsum | 51.99 |
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| eval_rouge1 | 54.32 |
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| eval_rouge2 | 38.08 |
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| eval_rougeL | 51.98 |
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| eval_rougeLsum | 51.99 |
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## Cite This
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```
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@INPROCEEDINGS{10373720,
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author={Zekaoui, Nour Eddine and Yousfi, Siham and Mikram, Mounia and Rhanoui, Maryem},
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booktitle={2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)},
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title={Enhancing Large Language Models’ Utility for Medical Question-Answering: A Patient Health Question Summarization Approach},
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year={2023},
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volume={},
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number={},
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pages={1-8},
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doi={10.1109/SITA60746.2023.10373720}}
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```
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