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Skyler Grandel; Scott Thomas Andersen; Yu Huang; Kevin Leach (2026). ComCat: Expertise-guided context generation to enhance code comprehension. ACM Transactions on Software Engineering and Methodology, 35(3), Article 82. 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 More

Wang, Yu; Rossi, Ryan A.; Park, Namyong; Ahmed, Nesreen K.; Koutra, Danai; Dernoncourt, Franck; & Derr, Tyler. (2025). Demystifying the power of large language models in graph structure generation. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference… Read More

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 More

Zhang, Yifan, Huang, Chen, Karas, Zachary, Nguyen, Thuy Dung, Leach, Kevin, & Huang, Yu. (2025). 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 More

Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranhão, Fabiola, Valladão, Viviane Silva, & Velasco, Karine. (2025). “What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.” Anais da Academia Brasileira de Ciências, 97, e20241345. https://doi.org/10.1590/0001-3765202520241345 This study presents… Read More

Davalos, Eduardo, Zhang, Yike, Srivastava, Namrata, Salas, Jorge Alberto, McFadden, Sara E., Cho, Sun-joo, Biswas, Gautam, & Goodwin, Amanda P. (2025). “LLMs as educational analysts: Transforming multimodal data traces into actionable reading assessment reports.” In Lecture Notes in Computer Science (Vol. 15878, pp. 191-204). https://doi.org/10.1007/978-3-031-98417-4_14… Read More

Gomes, S. F., Jr.; Velasco, K.; Cunha, S.; Santos, J.; Aboelkheir, M. G.; Sumini, M.; Thiré, R.; Duarte, P. C., Jr.; Andrade, A. J. P.; Díaz-Martín, R. D.; Clebis, V. H.; Bhansali, S.; Pal, K.; Maranhão, F. “Leveraging Large Language Models for Accelerated Learning and Innovation in… Read More

Ni, Bo; Wang, Yu; Cheng, Lu; Blasch, Erik; Derr, Tyler. “Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.” Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 12 (2025): 12417–12425. https://doi.org/10.1609/aaai.v39i12.33353.  Recently, researchers have combined two powerful tools—Knowledge Graphs (which… Read More

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.  Multimodal large language models… Read More

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.   … Read More