Papers with explanatory and data-efficient

1 papers
Fact-Checking Complex Claims with Program-Guided Reasoning (2023.acl-long)

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Challenge: Fact-checking real-world claims often requires collecting multiple pieces of evidence and complex multi-step reasoning.
Approach: They propose a novel fact-checking model that decomposes complex claims into simpler sub-tasks that can be solved using a shared library of specialized functions.
Outcome: The proposed model outperforms seven baselines on two fact-checking datasets and has explicit output programs that benefit human debugging.

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