Large Language Model
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A Survey on LLM-based Conversational User Simulation
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 MoreJun. 17, 2026
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Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
Fu, Haowei; Ni, Bo; Xu, Han; Liu, Kunpeng; Lin, Dan; Derr, Tyler. (2026).聽Ensemble privacy defense for knowledge-intensive LLMs against membership inference attacks.聽In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics: Findings of EACL 2026, 2786鈥�2799.聽https://doi.org/10.18653/v1/2026.findings-eacl.145 Retrieval-Augmented Generation, or… Read MoreJun. 17, 2026
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A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms
Fonteles, Joyce Horn; Sivakumaran, Nithin; Cohn, Clayton; Coursey, Austin; Yu, Shoubin; Stengel-Eskin, Elias; Ashwin, T. S.; Bansal, Mohit; Biswas, Gautam. (2026).聽A novel approach to evaluating the effectiveness of large language models for multimodal analysis of embodied learning in classrooms.聽16th International Learning Analytics and Knowledge Conference, LAK 2026,… Read MoreJun. 17, 2026
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Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning
Zhang, Jiayi; Borchers, Conrad; Cohn, Clayton; Srivastava, Namarata; Snyder, Caitlin; Guo, Siyuan; Ashwin, T. S.; Mohammed, Naveeduddin; Noh, Haley; Biswas, Gautam. (2026).聽Using large language models to detect socially shared regulation of collaborative learning.聽16th International Learning Analytics and Knowledge Conference, LAK 2026, 883鈥�890.聽https://doi.org/10.1145/3785022.3785083 The field… Read MoreJun. 17, 2026
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The Role of LLM-Powered Conversational Agents in Supporting Inquiry in a Narrative-Centered Learning Environment: A Learning Analytics Study
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).聽The role of LLM-powered conversational agents in supporting inquiry in a narrative-centered learning environment: A learning analytics study.聽In 16th International Learning Analytics… Read MoreJun. 17, 2026
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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).聽Demystifying the power of large language models in graph structure generation.聽2025 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
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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). 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
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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). 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/10.1590/0001-3765202520241345 This study presents… Read MoreAug. 25, 2025