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@@ -17,14 +17,20 @@ Benefits of using this model:
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  * integration of external resources for better analysis (Semantic Scholar, OpenAlex, <u>Pubmed</u>...)
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  * it offers <u>uncertainty-aware</u> predictions with <u>faithful</u> explanations
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- | Model | Zero-Shot Reasoning |
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- |------------------------------|---------------------|
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- | Llama-3.1-8B-Instruct | 20.0 |
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- | OpenScholar-8B | 18.8 |
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- | Bio-Medical-Llama-3-8B | 40.7 |
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- | PMC-LLaMA-13B | 36.4 |
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- | Pub-Guard-Llama-8B (Ours) | 63.9 |
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- | Pub-Guard-Llama-8B (Debate) | - |
 
 
 
 
 
 
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  ## Examples
 
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  * integration of external resources for better analysis (Semantic Scholar, OpenAlex, <u>Pubmed</u>...)
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  * it offers <u>uncertainty-aware</u> predictions with <u>faithful</u> explanations
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+ **Datasets**
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+ * [Pubmed Retraction](https://huggingface.co/datasets/Lihuchen/pubmed_retraction)
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+ * [Instruction](https://huggingface.co/datasets/Lihuchen/pubmed_retraction_instruction)
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+
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+ **Zero-Shot Reasoning**
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+ | Model | Breast Cancer|Lung Cancer|
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+ |------------------------------|---------------------|---------------------|
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+ | Llama-3.1-8B-Instruct | 20.0 |46.2|
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+ | OpenScholar-8B | 18.8 |20.3
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+ | Bio-Medical-Llama-3-8B | 40.7 |56.7|
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+ | PMC-LLaMA-13B | 36.4 |-|
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+ | Pub-Guard-Llama-8B (Ours) | 69.5 |78.9|
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+ | Pub-Guard-Llama-8B (RAG) | - |-|
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+ | Pub-Guard-Llama-8B (Debate) | - |-|
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  ## Examples