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Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.

, , , , , , , and . CoRR, (2023)

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Influence Maximization in Dynamic Social Networks., , , , and . ICDM, page 1313-1318. IEEE Computer Society, (2013)Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning., and . WSDM, page 243-252. ACM, (2015)PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks., , , , and . KDD, page 425-434. ACM, (2017)Adaptive Double-Exploration Tradeoff for Outlier Detection., , , and . AAAI, page 6837-6844. AAAI Press, (2020)Stochastic Retrieval-Conditioned Reranking., , , , and . ICTIR, page 81-91. ACM, (2022)A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models., , , and . SIGIR, page 38-47. ACM, (2024)How Does Generative Retrieval Scale to Millions of Passages?, , , , , , , and . EMNLP, page 1305-1321. Association for Computational Linguistics, (2023)RD-Suite: A Benchmark for Ranking Distillation., , , , , , , , and . NeurIPS, (2023)SAE: social analytic engine for large networks., , , , , , , , , and 3 other author(s). KDD, page 1502-1505. ACM, (2013)Towards Disentangling Relevance and Bias in Unbiased Learning to Rank., , , , , , , and . KDD, page 5618-5627. ACM, (2023)