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- W4284978269 abstract "Contextual ranking models have delivered impressive performance improvements over classical models in the document ranking task. However, these highly over-parameterized models tend to be data-hungry and require large amounts of data even for fine tuning." @default.
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- W4284978269 date "2022-08-23" @default.
- W4284978269 modified "2023-09-28" @default.
- W4284978269 title "Supervised Contrastive Learning Approach for Contextual Ranking" @default.
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- W4284978269 doi "https://doi.org/10.1145/3539813.3545139" @default.
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