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Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.

, , , , , , , , , и . BioNLP@ACL, стр. 503-509. Association for Computational Linguistics, (2023)

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Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models., , , , , , , , , и . BioNLP@ACL, стр. 503-509. Association for Computational Linguistics, (2023)The realization of polynomial fit between EMF and temperature changes based on least squares fit., и . EMEIT, стр. 509-512. IEEE, (2011)The Benefits of Network Externality by Social Network Site., и . IIAI-AAI, стр. 242-246. IEEE Computer Society, (2014)Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition., , , и . IEEE Big Data, стр. 3660-3669. IEEE, (2023)PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records., , , , , , , , , и 1 other автор(ы). CLEF (Working Notes), том 3497 из CEUR Workshop Proceedings, стр. 1668-1679. CEUR-WS.org, (2023)EDU-level Extractive Summarization with Varying Summary Lengths., , , , , и . EACL (Findings), стр. 1610-1622. Association for Computational Linguistics, (2023)Construction Cost Index Prediction: A Visibility Graph Network Method., , , , и . IJCNN, стр. 1-6. IEEE, (2021)