External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

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]

Authors

Sebastian Hofstätter

This author has not been identified. Look up 'Sebastian Hofstätter' in Google

Sheng-Chieh Lin

This author has not been identified. Look up 'Sheng-Chieh Lin' in Google

Jheng-Hong Yang

This author has not been identified. Look up 'Jheng-Hong Yang' in Google

Jimmy Lin

This author has not been identified. Look up 'Jimmy Lin' in Google

Allan Hanbury

This author has not been identified. Look up 'Allan Hanbury' in Google
runs on