Papers with closed-book QA framework

1 papers
Context Generation Improves Open Domain Question Answering (2023.findings-eacl)

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Challenge: Existing closed-book question answering methods do not fully exploit the parameterized knowledge.
Approach: They propose a closed-book QA framework which uses a coarse-to-fine approach to extract the relevant knowledge and answer a question.
Outcome: The proposed method outperforms open-book QA methods on three QA benchmarks.

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