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update qa result
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Ziyan Jiang committed Jun 24, 2024
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The table shows the QA results on the HotpotQA dev set. We compare the results with three groups of baselines: closed-book, which involves directly prompting
state-of-the-art LLMs with 16-shot in-context examples; fully-supervised RAG, where the RAG framework is used and the model is fully supervised and trained
on the training data; and No Fine-tuning RAG, which employs the RAG framework without any tuning
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