FMI_SU_Yotkova_Kastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric Signals

This paper details participation in SemEval-2026 Task 13, focusing on lightweight detection of LLM-generated code using stylometric signals. The approach employs ratio-based features, parsing engines, and language classifiers, proving computationally efficient with near-instant inference time.