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We propose ListT5, a novel reranking approach based on Fusion-in-Decoder (FiD) that handles multiple candidate passages at both train and inference time.
Tournament Sort , pages 68–86. Macmillan Education UK, London
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Rankzephyr: Effective and robust zero-shot listwise reranking is a breeze!
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