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@@ -66,7 +66,7 @@ We conducted a comprehensive analysis of the performance of three Large Language
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  ### Performance Summary
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- Table 1: Performance (accuracy) of LLMs on BiomixQA datasets using prompt-based (zero-shot) and KG-RAG approaches (For more details, refer [this](https://arxiv.org/abs/2311.17330) paper)
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  | Model | True/False Dataset | | MCQ Dataset | |
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  |-------|-------------------:|---:|------------:|---:|
 
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  ### Performance Summary
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+ Table 1: Performance (accuracy) of LLMs on BiomixQA datasets using prompt-based (zero-shot) and KG-RAG approaches (For more details, refer [this](https://academic.oup.com/bioinformatics/article/40/9/btae560/7759620) paper)
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  | Model | True/False Dataset | | MCQ Dataset | |
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  |-------|-------------------:|---:|------------:|---:|