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Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

, , , , , , and . Human-AI Math Tutoring@AIED, volume 3491 of CEUR Workshop Proceedings, page 12-23. CEUR-WS.org, (2023)

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Using Large Language Models to Provide Explanatory Feedback to Human Tutors., , , , , , and . Human-AI Math Tutoring@AIED, volume 3491 of CEUR Workshop Proceedings, page 12-23. CEUR-WS.org, (2023)AUC Maximization for Low-Resource Named Entity Recognition., , , , , and . CoRR, (2022)Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification., , , and . AAAI, page 15240-15248. AAAI Press, (2024)Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition., , , and . EMNLP (Findings), page 12725-12734. Association for Computational Linguistics, (2023)AUC Maximization for Low-Resource Named Entity Recognition., , , , , and . AAAI, page 13389-13399. AAAI Press, (2023)Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?, , , , , and . ICDM, page 1241-1246. IEEE, (2023)Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets., , , , , , , , and . AIED, volume 13916 of Lecture Notes in Computer Science, page 114-125. Springer, (2023)Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios., , , , and . EMNLP, page 4063-4071. Association for Computational Linguistics, (2022)Frame Rate Up-Conversion Using Median Filter and Motion Estimation with Occlusion Detection., , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 98-A (1): 455-458 (2015)A multi-disciplinary review of enablers and barriers to Cloud ERP implementation and innovation outcomes., , and . J. Enterp. Inf. Manag., 36 (5): 1209-1239 (2023)