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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)ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval., , , , , , and . CoRR, (2024)Learning Denoised and Interpretable Session Representation for Conversational Search., , , , , , and . WWW, page 3193-3202. ACM, (2023)Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation., , and . CoRR, (2024)YuLan: An Open-source Large Language Model., , , , , , , , , and 28 other author(s). CoRR, (2024)CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search., , , , , , and . CoRR, (2024)SimpleX: A Simple and Strong Baseline for Collaborative Filtering., , , , , , and . CIKM, page 1243-1252. ACM, (2021)Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval., , and . SIGIR, page 176-186. ACM, (2022)Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach., , , , , and . SIGIR, page 2327-2336. ACM, (2020)ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval., , , , , and . EMNLP, page 2935-2946. Association for Computational Linguistics, (2022)