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Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.

, , , , , and . WSDM, page 1328-1336. ACM, (2022)

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Semantic Matching by Non-Linear Word Transportation for Information Retrieval., , , and . CIKM, page 701-710. ACM, (2016)Dynamic-K Recommendation with Personalized Decision Boundary., , , and . CCIR, volume 10390 of Lecture Notes in Computer Science, page 17-29. Springer, (2017)Query Recommendation Based on Manifold Ranking, , , and . Journal of Chinese Information Processing, 25 (2): 38-43 (March 2011)A Two-Step Utility Query Recommendation Method Based on Absorbing Random Walk, , , and . Journal of Computer Research and Development, 50 (12): 2603-2611 (December 2013)Analysis of the Paragraph Vector Model for Information Retrieval., , , and . ICTIR, page 133-142. ACM, (2016)A new probabilistic model for top-k ranking problem., , , and . CIKM, page 2519-2522. ACM, (2012)A Probabilistic Model for Bursty Topic Discovery in Microblogs., , , , and . AAAI, page 353-359. AAAI Press, (2015)Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off., , , , , , and . AAAI, page 8832-8840. AAAI Press, (2024)RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation., , , , , and . ECIR (1), volume 14608 of Lecture Notes in Computer Science, page 39-55. Springer, (2024)Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models., , , , , , and . SIGIR, page 1700-1709. ACM, (2023)