ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval

Soyoung Yoon, Eunbi Choi, Jiyeon Kim +3

We propose ListT5, a novel reranking approach based on Fusion-in-Decoder (FiD) that handles multiple candidate passages at both train and inference time. We also introduce an effic…