14 citations · 28 across the 5 of their papers we have counts for
5 papers
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Anibal Suarez +1
Due to the recent improvements and wide availability of Large Language Models (LLMs), they have posed a serious threat to academic integrity in education. Modern LLM-generated text…
Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection
Oscar Karnalim, Lisan Sulistiani
To solve time inefficiency issue, only potential pairs are compared in string-matching-based source code plagiarism detection; wherein potentiality is defined through a fast-yet-or…
Which Source Code Plagiarism Detection Approach is More Humane?
Oscar Karnalim, Lisan Sulistiani
This paper contributes in developing source code plagiarism detection that is more aligned with human perspective. Three evaluation mechanisms that directly relate human perspectiv…
The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy
Oscar Karnalim, Setia Budi
Low-level approach is a novel way to detect source code plagiarism. Such approach is proven to be effective when compared to baseline approach (i.e., an approach which relies on so…
An Abstract Method Linearization for Detecting Source Code Plagiarism in Object-Oriented Environment
Oscar Karnalim
Despite the fact that plagiarizing source code is a trivial task for most CS students, detecting such unethical behavior requires a considerable amount of effort. Thus, several pla…