Papers with RFiD) model

1 papers
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering (2023.findings-acl)

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Challenge: Open-domain Question Answering (ODQA) systems rely on spurious features instead of genuine causal relationships to generate answers.
Approach: They propose a model that leverages the encoders of FiD to distinguish between causal relationships and spurious features and guides the decoder to generate answers informed by this discernment.
Outcome: The proposed model improves on two ODQA datasets and shows that it can identify causal relationships and identify spurious features.

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