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  Fraol Batole

  Ph.D. Student

  Tulane University

  His research interests mostly entail concepts from software engineering and program analysis to enhance deep learning models and LLMs. Specifically, he explores static analysis methodologies i) to mitigate bugs in deep-learning models and ii) to improve the performance of LLMs on source code representation.

Co-Authored Publications

•  NEW ICSE: An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization Fraol Batole, David OBrien, Tien N. Nguyen, Robert Dyer, Hridesh Rajan. January 1, 2025.
  Acceptance rate: 140/642 (21.81%)