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cs.SE2026
Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4
Saman Pordanesh, Benjamin Tan
In the rapidly evolving field of software development, code stylometry analyzing unique stylistic signatures of programmers plays a crit-ical role in authorship attribution and cyb…
cs.AR2026
PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset
Sahana Srinivasan, Benjamin Tan, Benjamin Turnbull +1
Large Language Models (LLMs) have demonstrated capabilities in electronic design automation (EDA) for integrated circuits. However, their applications in printed circuit board (PCB…