@misc{glasz2025can,title={Can LLMs Replace Humans During Code Chunking?},author={Glasz, Christopher and Escamilla, Emily and Scott, Eric O. and Patel, Anand and Zimmer, Jacob and Diggs, Colin and Doyle, Michael and Rosen, Scott and Naik, Nitin and Brunelle, Justin F. and Thaker, Samruddhi and Poudel, Parthav and Sridharan, Arun and Madan, Amit and Wendt, Doug and Macke, William and Schill, Thomas},year={2025},archiveprefix={arXiv},primaryclass={cs.LG},}
@misc{sabetto2025impact,title={Impact of Comments on LLM Comprehension of Legacy Code},author={Sabetto, Rock and Escamilla, Emily and Agarwal, Devesh and Kandwal, Sujay and Brunelle, Justin F. and Rosen, Scott and Naik, Nitin and Thaker, Samruddhi and Scott, Eric O. and Zimmer, Jacob and Madan, Amit and Sridharan, Arun and Wendt, Doug and Doyle, Michael and Glasz, Christopher and Phillips, Jasper and Macke, William and Diggs, Colin and Bartholf, Michael and Robin, Zachary and Ursino, Paul},year={2025},archiveprefix={arXiv},primaryclass={cs.LG},}
@misc{diggs2024leveragingllmslegacycode,title={Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation},author={Diggs, Colin and Doyle, Michael and Madan, Amit and Scott, Siggy and Escamilla, Emily and Zimmer, Jacob and Nekoo, Naveed and Ursino, Paul and Bartholf, Michael and Robin, Zachary and Patel, Anand and Glasz, Chris and Macke, William and Kirk, Paul and Phillips, Jasper and Sridharan, Arun and Wendt, Doug and Rosen, Scott and Naik, Nitin and Brunelle, Justin F. and Thaker, Samruddhi},year={2024},archiveprefix={arXiv},primaryclass={cs.LG},}
@article{macke2024testing,title={Testing the Effect of Code Documentation on Large Language Model Code Understanding},author={Macke, William and Doyle, Michael},journal={North American Association of Computational Linguistics (NAACL)},year={2024},organization={Association for Computational Linguistics},}
@article{tapley2023reinforcement,title={Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments},author={Tapley, Alexander and Dotter, Marissa and Doyle, Michael and Fennelly, Aidan and Gandikota, Dhanuj and Smith, Savanna and Threet, Michael and Welsh, Tim},journal={Neural Information Processing Systems (NeurIPS)},year={2023},}
@inproceedings{merkhofer2022practical,title={Practical Attacks on Machine Translation Using Paraphrase},author={Merkhofer, Elizabeth M. and Henderson, John and Gertner, Abigail S. and Doyle, Michael and Wong, Lily},booktitle={Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)},pages={227--239},year={2022},}
Machine Learning Can Enhance Near Real-time and Far-future Preparedness against Cascades of Climate Changes Threats
Jeffrey Richard Arnold, Dhanuj Gandikota, Jennifer Richkus, and 1 more author
@inproceedings{arnold2022machine,title={Machine Learning Can Enhance Near Real-time and Far-future Preparedness against Cascades of Climate Changes Threats},author={Arnold, Jeffrey Richard and Gandikota, Dhanuj and Richkus, Jennifer and Doyle, Michael},booktitle={AGU Fall Meeting Abstracts},organization={American Geophysical Union},volume={2022},pages={SY16A--08},year={2022},}
@inproceedings{doyle2021vulnerability,title={The vulnerability of UAVs: An adversarial machine learning perspective},author={Doyle, Michael and Harguess, Josh and Manville, Keith and Rodriguez, Mikel},booktitle={Geospatial Informatics XI},volume={11733},pages={81--92},year={2021},organization={SPIE},}
