Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. In Fernando Diaz 0001, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai, editors, SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. pages 113-122, ACM, 2021. [doi]

Abstract

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