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Evaluating the ChatGPT family of models for biomedical reasoning and classification.

, , , , , , and . J. Am. Medical Informatics Assoc., 31 (4): 940-948 (2024)

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An NLP Analysis of Exaggerated Claims in Science News., , and . NLPmJ@EMNLP, page 106-111. Association for Computational Linguistics, (2017)Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models., , , , and . ACL (1), page 15746-15761. Association for Computational Linguistics, (2023)From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality?, , , and . CoRR, (2024)Measuring Pointwise \mathcalV-Usable Information In-Context-ly., , , , , and . EMNLP (Findings), page 15739-15756. Association for Computational Linguistics, (2023)Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification., , , , , , and . CoRR, (2023)Advice Giving in Medical Research Literature., and . iConference (2), volume 13193 of Lecture Notes in Computer Science, page 261-272. Springer, (2022)Detecting Causal Language Use in Science Findings., , and . EMNLP/IJCNLP (1), page 4663-4673. Association for Computational Linguistics, (2019)LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation., , , and . PACLIC, page 59-69. Association for Computational Linguistics, (2023)Evaluating the ChatGPT family of models for biomedical reasoning and classification., , , , , , and . J. Am. Medical Informatics Assoc., 31 (4): 940-948 (2024)Can ChatGPT Understand Causal Language in Science Claims?, , , and . WASSA@ACL, page 379-389. Association for Computational Linguistics, (2023)