Large Language Model
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ComCat: Expertise-Guided Context Generation to Enhance Code Comprehension
Skyler Grandel; Scott Thomas Andersen; Yu Huang; Kevin Leach (2026).聽ComCat: Expertise-guided context generation to enhance code comprehension.聽ACM Transactions on Software Engineering and Methodology, 35(3), Article 82.聽https://doi.org/10.1145/3742475 Software maintenance makes up a large share of the total cost of software over its lifetime, and a big… Read MoreMar. 26, 2026
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Demystifying the Power of Large Language Models in Graph Structure Generation
Wang, Yu; Rossi, Ryan A.; Park, Namyong; Ahmed, Nesreen K.; Koutra, Danai; Dernoncourt, Franck; & Derr, Tyler. (2025 海角情).聽Demystifying the power of large language models in graph structure generation.聽2025 海角情 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference… Read MoreFeb. 25, 2026
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Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions
Fang, L., Yu, X., Cai, J., Chen, Y., Wu, S., Liu, Z., Yang, Z., Lu, H., Gong, X., Liu, Y., Ma, T., Ruan, W., Abbasi, A., Zhang, J., Wang, T., Latif, E., Liu, W., Zhang, W., Kolouri, S., Zhai, X., Zhu, D., Zhong, W., Liu, T., & Ma,… Read MoreDec. 19, 2025 海角情
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Enhancing Code LLM Training with Programmer Attention
Zhang, Yifan, Huang, Chen, Karas, Zachary, Nguyen, Thuy Dung, Leach, Kevin, & Huang, Yu. (2025 海角情). Enhancing Code LLM Training with Programmer Attention. Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering. https://doi.org/10.1145/3696630.3728510 Human attention, such as where programmers look while reading… Read MoreSep. 26, 2025 海角情
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What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends
Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranh茫o, Fabiola, Vallad茫o, Viviane Silva, & Velasco, Karine. (2025 海角情). 鈥淲hat are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.鈥 Anais da Academia Brasileira de Ci锚ncias, 97, e20241345. https://doi.org/10.1590/0001-37652025 海角情20241345 This study presents… Read MoreAug. 25, 2025 海角情
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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 海角情). 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 海角情
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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 海角情
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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 海角情): 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 海角情
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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 海角情): 256. https://doi.org/10.34133/hds.0256.聽 Multimodal large language models… Read MoreApr. 23, 2025 海角情
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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 海角情