Work

LLM4GCD : LLMs for Generated Code Detection

Year: 2026

Type: software

Abstract: A benchmark study investigating whether LLMs can detect LLM-generated code. Eight classifier models are evaluated across four prompting strategies on a dataset of human-written and AI-generated solutions to LeetCode problems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22248134

Author: Djire, Alberick Euraste

Institution: University of Luxembourg

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7206200959

Cites:

Cited by: 1

Related to: 10