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Learning Denoised and Interpretable Session Representation for Conversational Search., , , , , , и . WWW, стр. 3193-3202. ACM, (2023)CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search., , , , , , и . CoRR, (2024)YuLan: An Open-source Large Language Model., , , , , , , , , и 28 other автор(ы). CoRR, (2024)Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding., , и . ACL (1), стр. 2879-2893. Association for Computational Linguistics, (2024)Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation., , и . CoRR, (2024)SimpleX: A Simple and Strong Baseline for Collaborative Filtering., , , , , , и . CIKM, стр. 1243-1252. ACM, (2021)Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval., , и . SIGIR, стр. 176-186. ACM, (2022)Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach., , , , , и . SIGIR, стр. 2327-2336. ACM, (2020)ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval., , , , , и . EMNLP, стр. 2935-2946. Association for Computational Linguistics, (2022)Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search., , , , , и . EMNLP (Findings), стр. 1211-1225. Association for Computational Linguistics, (2023)