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Ni, Bo; Wang, Leyao; Wang, Yu; Kveton, Branislav; Dernoncourt, Franck; Xia, Yu; Chen, Hongjie; Leura, Reuben; Basu, Samyadeep; Mukherjee, Subhojyoti; Mathur, Puneet; Ahmed, Nesreen; Wu, Junda; Li, Li; Zhang, Huixin; Zhang, Ruiyi; Yu, Tong; Kim, Sungchul; Gu, Jiuxiang; Tu, Zhengzhong; Siu, Alexa; Wang, Zichao; Yoon, David Seunghyun; Lipka,… Read More

Fu, Haowei; Ni, Bo; Xu, Han; Liu, Kunpeng; Lin, Dan; Derr, Tyler. (2026). Ensemble privacy defense for knowledge-intensive LLMs against membership inference attacks. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics: Findings of EACL 2026, 2786–2799. https://doi.org/10.18653/v1/2026.findings-eacl.145 Retrieval-Augmented Generation, or… Read More

Fonteles, Joyce Horn; Sivakumaran, Nithin; Cohn, Clayton; Coursey, Austin; Yu, Shoubin; Stengel-Eskin, Elias; Ashwin, T. S.; Bansal, Mohit; Biswas, Gautam. (2026). A novel approach to evaluating the effectiveness of large language models for multimodal analysis of embodied learning in classrooms. 16th International Learning Analytics and Knowledge Conference, LAK 2026,… Read More

Zhang, Jiayi; Borchers, Conrad; Cohn, Clayton; Srivastava, Namarata; Snyder, Caitlin; Guo, Siyuan; Ashwin, T. S.; Mohammed, Naveeduddin; Noh, Haley; Biswas, Gautam. (2026). Using large language models to detect socially shared regulation of collaborative learning. 16th International Learning Analytics and Knowledge Conference, LAK 2026, 883–890. https://doi.org/10.1145/3785022.3785083 The field… Read More

Srivastava, Namrata; Humburg, Megan; Burriss, Sarah; Jain, Shruti; Cohn, Clayton; Kim, Yeojin; Timalsina, Umesh; Danish, Joshua; Hmelo-Silver, Cindy E.; Glazewski, Krista; Lester, James; Biswas, Gautam. (2026). The role of LLM-powered conversational agents in supporting inquiry in a narrative-centered learning environment: A learning analytics study. In 16th International Learning Analytics… Read More

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 51����). Demystifying the power of large language models in graph structure generation. 2025 51���� 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 51����). 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 51����). “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/10.1590/0001-37652025 51����20241345 This study presents… Read More