Update README.md

README.md

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 **Pub-Guard-Llama-8B** is a fine-tuned version of the Llama-3.1-8B model, specifically designed for detecting fraudulent papers in academic publications. 
 
 Benefits of using this model:
-* the <u>first</u> LLM specifically designed for fraud detection in scientific articles
-* integration of external resources for better analysis (Semantic Scholar, OpenAlex, <u>Pubmed</u>...)
-* it offers <u>uncertainty-aware</u> predictions with <u>faithful</u> explanations
+* the first LLM-based system specifically designed for fraud detection in scientific articles
+* integration of external resources for better analysis (Semantic Scholar, OpenAlex, Pubmed...)
+* it offers powerful predictions with reliable explanations
 
 **Datasets**
 * [Pubmed Retraction](https://huggingface.co/datasets/Lihuchen/pubmed_retraction)
 * [Instruction](https://huggingface.co/datasets/Lihuchen/pubmed_retraction_instruction)
 
-**Zero-Shot Reasoning** 
-| Model                        | Breast Cancer|Lung Cancer|
-|------------------------------|---------------------|---------------------|
-| Llama-3.1-8B-Instruct        | 20.0               |46.2|
-| OpenScholar-8B               | 18.8               |20.3
-| Bio-Medical-Llama-3-8B       | 40.7               |56.7|
-| PMC-LLaMA-13B                | 36.4               |-|
-| Pub-Guard-Llama-8B (Ours)    | 73.1              |80.5|
-| Pub-Guard-Llama-8B (RAG)  | -                  |-|
-| Pub-Guard-Llama-8B (Debate)  | 73.1                  |81.1|
+**Experimental Results** 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63d1954e8eaa4831006600ff/kyb02DvmmiCTdzVK2VNP6.png)
+
 
 
 ## Examples