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  license: mit
 
 
 
 
 
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  license: mit
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+ datasets:
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+ - ruotong-pan/CAGB
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+ language:
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+ - en
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+ pipeline_tag: question-answering
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  ---
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+ This model is a 13B model with credibility-aware generation, fine-tuned on LLaMA2-13B.
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+ 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.
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+ Because of the capability of customized credibility in CAG, it has diverse application scenarios, including personalized response generation and the resolution of knowledge conflicts.
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+ Read our [article](https://arxiv.org/abs/2404.06809) to learn more.
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+ 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).