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Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning.

, , , , , and . ACM Trans. Inf. Syst., 38 (4): 37:1-37:26 (2020)

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Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning., , , , , and . ACM Trans. Inf. Syst., 38 (4): 37:1-37:26 (2020)RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking., , , , , , , and . EMNLP (1), page 2825-2835. Association for Computational Linguistics, (2021)Dense Text Retrieval Based on Pretrained Language Models: A Survey., , , and . ACM Trans. Inf. Syst., 42 (4): 89:1-89:60 (July 2024)RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering., , , , , , , , and . NAACL-HLT, page 5835-5847. Association for Computational Linguistics, (2021)A Thorough Examination on Zero-shot Dense Retrieval., , , , , , , , and . EMNLP (Findings), page 15783-15796. Association for Computational Linguistics, (2023)RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering., , , , , , , , and . CoRR, (2020)Sequential Recommendation with Self-Attentive Multi-Adversarial Network., , , , , , and . SIGIR, page 89-98. ACM, (2020)PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval., , , , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 2173-2183. Association for Computational Linguistics, (2021)TOME: A Two-stage Approach for Model-based Retrieval., , , , , and . ACL (1), page 6102-6114. Association for Computational Linguistics, (2023)A Survey of Large Language Models., , , , , , , , , and 12 other author(s). CoRR, (2023)