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Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity

Abstract

AbstractThis paper describes a simple yet effective method to identify if academic essays have been written by students or generated through the language models in English language. We extract a set of style, language complexity, bias and subjectivity, and emotion-based features that can be used to distinguish human-written essays from machine-generated essays. Our methods rank 6th on the leaderboard, achieving an impressive F1-score of 0.986.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Vijayasaradhi Indurthi, Vasudeva Varma

Topics

Natural Language Processing > Applications > Text Classification Machine Learning > Core Methods > Feature Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

feature extraction text classification bias detection emotion analysis ai-generated text essay authenticity language complexity style feature
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