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Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval.

, , , , , , и . CoRR, (2022)

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Jiaxin Pan

Jiaxin Dong

Jiaxin Zhao

Tongsheng Mao

Yiqin Mao

 

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Investigating Fine-Grained Usefulness Perception Process in Mobile Search., , , , , и . CCIR, том 12285 из Lecture Notes in Computer Science, стр. 17-28. Springer, (2020)Unbiased Learning to Rank: Online or Offline?, , , и . CoRR, (2020)THUIR at the NTCIR-14 WWW-2 Task., , , , , , и . NTCIR, том 11966 из Lecture Notes in Computer Science, стр. 165-179. Springer, (2019)Investigating COVID-19-Related query logs of Chinese search engine users., , , , и . ASIST, том 57 из Proc. Assoc. Inf. Sci. Technol., Wiley, (2020)Improving Search Snippets in Context-Aware Web Search Scenarios., , , , и . CCIR, том 12285 из Lecture Notes in Computer Science, стр. 3-16. Springer, (2020)SIGIR 2019 Tutorial on Explainable Recommendation and Search., , и . SIGIR, стр. 1417-1418. ACM, (2019)TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions., , , , и . CIKM, стр. 2485-2488. ACM, (2019)Investigating Examination Behavior in Mobile Search., , , , , и . WSDM, стр. 771-779. ACM, (2020)Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study., , , и . CoRR, (2024)Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models., , , и . CoRR, (2024)