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Leveraging Passage-level Cumulative Gain for Document Ranking., , , , , , and . WWW, page 2421-2431. ACM / IW3C2, (2020)Scaling Laws For Dense Retrieval., , , , , , and . CoRR, (2024)Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently., , , , and . CoRR, (2020)Interpreting Dense Retrieval as Mixture of Topics., , , , , and . CoRR, (2021)Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models., , , , , , and . CIKM, page 2486-2496. ACM, (2022)Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval., , , , , and . WSDM, page 1328-1336. ACM, (2022)Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract)., , , , , and . IJCAI, page 6504-6508. ijcai.org, (2023)Capability-aware Prompt Reformulation Learning for Text-to-Image Generation., , , , and . CoRR, (2024)RepBERT: Contextualized Text Embeddings for First-Stage Retrieval., , , , and . CoRR, (2020)Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval., , , , , and . CoRR, (2021)