Michaels, E., Wallace, R., Robison, M., Huang, Y., McMillan C.. (Accepted). "Human Attention During Localization of Memory Bugs in C Programs", in ACM Transactions on Software Engineering and Methodology (TOSEM).
Tang, N., Smith, E., Huang, Y., McMillan, C., & Li, T. J. J. (2025, October). Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification. In 2025 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 68-80). IEEE.
Karr, J. A., Jr., Smith, E., Hauenstein, M., Curto, G., & Chawla, N. V. (2025, August). What is behind homelessness bias? Using LLMs and NLP to mitigate homelessness by acting on social stigma. In J. Kwok (Ed.), Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-25) (pp. 9754–9762). International Joint Conferences on Artificial Intelligence Organization.
E. Smith, S. Kuntz, J. Riedy, and M. Deneroff, “Concurrent graph queries on the Lucata Pathfinder,” arXiv preprint arXiv:2209.11889, 2022.
M. Morrison, J. Dimpel, and E. Smith, “The Preternship—An academic-industry partnership model for early experiential learning experiences in computer science curricula,” in Proc. 2020 IEEE Integrated STEM Education Conf. (ISEC), 2020, pp. 1–8.
Talk at University of Notre Dame, Notre Dame, IN, USA
Talk at University of Notre Dame, Notre Dame, IN, USA