metadata
license: mit
datasets:
- ruotong-pan/CAGB
language:
- en
pipeline_tag: question-answering
This model is a 7B model with credibility-aware generation, fine-tuned on Mistral-7B. 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 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.