Update README.md

README.md

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 ---
 license: mit
+datasets:
+- ruotong-pan/CAGB
+language:
+- en
+pipeline_tag: question-answering
 ---
+This model is a 13B model with credibility-aware generation, fine-tuned on LLaMA2-13B.
+It possesses the capability to comprehend and utilize credibility within the context for generation, thereby exhibiting strong robustness when dealing with externally introduced noisy documents in the RAG.
+Because of the capability of customized credibility in CAG, it has diverse application scenarios, including personalized response generation and the resolution of knowledge conflicts.
+
+Read our [article](https://arxiv.org/abs/2404.06809) to learn more.
+
+Evaluate our model in real scenarios including Open-domain QA, Time-sensitive QA, and Misinformation Polluted QA. For more information and to access the evaluation code, visit [Code](https://github.com/panruotong/CAG).