Paper 'Can LLMs Judge Debates? Evaluating Non-Linear Reasoning via Argumentation Theory Semantics' accepted to NAACL 2025 Findings; Another paper on non-linear reasoning with LLMs accepted to EMNLP 2025 Findings.
Research Experience
Collaborated with Dr. Steven Bethard on projects tackling hallucination detection and distinguishing between machine-generated and human-generated text; Professional experience from machine learning and software engineering internships, working on applied problems such as traffic insights analysis and backend service optimization.
Education
Graduate Student, University of Arizona, Computer Science; Advisors: Dr. Mihai Surdeanu and Dr. Ellen Riloff.
Background
Research Interests: reasoning, faithfulness, and post-training methods in large language models (LLMs); Field: Computer Science; Brief Introduction: Working in the CLU Lab with Dr. Mihai Surdeanu and Dr. Ellen Riloff, exploring how LLMs can be guided to reason more faithfully and align better with human expectations.
Miscellany
Served as President of the Google Developer Student Club at his university, building a vibrant community around technology and innovation; Also been a College of Science Ambassador and Peer Mentor, mentoring students and helping them thrive academically; Personal interests include playing soccer, enjoying action-adventure video games, loving to explore new places, and having a music taste that spans from rap to classical.