Large Language Model
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LLMs as educational analysts: Transforming multimodal data traces into actionable reading assessment reports
Davalos, Eduardo, Zhang, Yike, Srivastava, Namrata, Salas, Jorge Alberto, McFadden, Sara E., Cho, Sun-joo, Biswas, Gautam, & Goodwin, Amanda P. (2025). 鈥淟LMs as educational analysts: Transforming multimodal data traces into actionable reading assessment reports.鈥� In Lecture Notes in Computer Science (Vol. 15878, pp. 191-204). https://doi.org/10.1007/978-3-031-98417-4_14… Read MoreAug. 25, 2025
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Leveraging large language models for accelerated learning and innovation in biogenic tissue-engineered vascular grafts
Gomes, S. F., Jr.; Velasco, K.; Cunha, S.; Santos, J.; Aboelkheir, M. G.; Sumini, M.; Thir茅, R.; Duarte, P. C., Jr.; Andrade, A. J. P.; D铆az-Mart铆n, R. D.; Clebis, V. H.; Bhansali, S.; Pal, K.; Maranh茫o, F. 鈥淟everaging Large Language Models for Accelerated Learning and Innovation in… Read MoreMay. 21, 2025
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Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
Ni, Bo; Wang, Yu; Cheng, Lu; Blasch, Erik; Derr, Tyler. 鈥淭owards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.鈥� Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 12 (2025): 12417鈥�12425.聽https://doi.org/10.1609/aaai.v39i12.33353.聽 Recently, researchers have combined two powerful tools鈥擪nowledge Graphs (which… Read MoreMay. 21, 2025
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Evaluating Sex and Age Biases in Multimodal Large Language Models for Skin Disease Identification from Dermatoscopic Images
Wan, Zhiyu; Guo, Yuhang; Bao, Shunxing; Wang, Qian; Malin, Bradley A. “Evaluating Sex and Age Biases in Multimodal Large Language Models for Skin Disease Identification from Dermatoscopic Images.” Health Data Science 5 (2025): 256. https://doi.org/10.34133/hds.0256.聽 Multimodal large language models… Read MoreApr. 23, 2025
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Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes
Cui, Can; Deng, Ruining; Guo, Junlin; Liu, Quan; Yao, Tianyuan; Yang, Haichun; Huo, Yuankai. “Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes.” BHI 2024 – IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings (2024). https://doi.org/10.1109/BHI62660.2024.10913563.聽 聽… Read MoreApr. 23, 2025
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Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty
Flory, James H.; Ancker, Jessica S.; Kim, Scott Y. H.; Kuperman, Gilad; Petrov, Aleksandr; Vickers, Andrew. “Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty.” Diabetes Care, vol. 48, no. 2, 2025, pp. 185-192,… Read MoreFeb. 24, 2025