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Macaw: An Extensible Conversational Information Seeking Platform.

, and . SIGIR, page 2193-2196. ACM, (2020)

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FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation., , , and . CoRR, (2022)Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search., , and . SIGIR, page 1131-1140. ACM, (2020)Analyzing and Learning from User Interactions for Search Clarification., , , , , , , and . SIGIR, page 1181-1190. ACM, (2020)Learning Robust Dense Retrieval Models from Incomplete Relevance Labels., , and . SIGIR, page 1728-1732. ACM, (2021)Predicting Prerequisite Relations for Unseen Concepts., and . EMNLP, page 8542-8548. Association for Computational Linguistics, (2022)Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set., , , , , and . CLEF, volume 8685 of Lecture Notes in Computer Science, page 128-140. Springer, (2014)Adaptive User Engagement Evaluation via Multi-task Learning., , and . SIGIR, page 1011-1014. ACM, (2015)Joint Modeling and Optimization of Search and Recommendation., and . DESIRES, volume 2167 of CEUR Workshop Proceedings, page 36-41. CEUR-WS.org, (2018)Embedding-based Query Language Models., and . ICTIR, page 147-156. ACM, (2016)Understanding Modality Preferences in Search Clarification., , , , , and . CoRR, (2024)