@inproceedings{indurthi-varma-2025-tesla,
title = "Tesla at {G}en{AI} Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity",
author = "Indurthi, Vijayasaradhi and
Varma, Vasudeva",
editor = "Alam, Firoj and
Nakov, Preslav and
Habash, Nizar and
Gurevych, Iryna and
Chowdhury, Shammur and
Shelmanov, Artem and
Wang, Yuxia and
Artemova, Ekaterina and
Kutlu, Mucahid and
Mikros, George",
booktitle = "Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2025.genaidetect-1.36/",
pages = "317--322",
abstract = "This 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."
}
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%0 Conference Proceedings
%T Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity
%A Indurthi, Vijayasaradhi
%A Varma, Vasudeva
%Y Alam, Firoj
%Y Nakov, Preslav
%Y Habash, Nizar
%Y Gurevych, Iryna
%Y Chowdhury, Shammur
%Y Shelmanov, Artem
%Y Wang, Yuxia
%Y Artemova, Ekaterina
%Y Kutlu, Mucahid
%Y Mikros, George
%S Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)
%D 2025
%8 January
%I International Conference on Computational Linguistics
%C Abu Dhabi, UAE
%F indurthi-varma-2025-tesla
%X This 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.
%U https://aclanthology.org/2025.genaidetect-1.36/
%P 317-322
Markdown (Informal)
[Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity](https://aclanthology.org/2025.genaidetect-1.36/) (Indurthi & Varma, GenAIDetect 2025)
ACL