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Learning Denoised and Interpretable Session Representation for Conversational Search.

, , , , , , and . WWW, page 3193-3202. ACM, (2023)

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Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding., , and . CoRR, (2024)Learning Denoised and Interpretable Session Representation for Conversational Search., , , , , , and . WWW, page 3193-3202. ACM, (2023)History-Aware Conversational Dense Retrieval., , , , , , and . CoRR, (2024)Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search., , , , , and . EMNLP (Findings), page 1211-1225. Association for Computational Linguistics, (2023)Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search., , , , and . CoRR, (2023)UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation., , , , , and . CIKM, page 1253-1262. ACM, (2021)Learning to Relate to Previous Turns in Conversational Search., , , , , , and . KDD, page 1722-1732. ACM, (2023)Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification., , , , , and . IWQoS, page 1-10. IEEE, (2021)Search-Oriented Conversational Query Editing., , , , , , , and . ACL (Findings), page 4160-4172. Association for Computational Linguistics, (2023)SimpleX: A Simple and Strong Baseline for Collaborative Filtering., , , , , , and . CIKM, page 1243-1252. ACM, (2021)