@inproceedings{andreev-etal-2024-papilusion,
title = "Papilusion at {DAGP}ap24: Paper or Illusion? Detecting {AI}-generated Scientific Papers",
author = "Andreev, Nikita and
Shirnin, Alexander and
Mikhailov, Vladislav and
Artemova, Ekaterina",
editor = "Ghosal, Tirthankar and
Singh, Amanpreet and
Waard, Anita and
Mayr, Philipp and
Naik, Aakanksha and
Weller, Orion and
Lee, Yoonjoo and
Shen, Shannon and
Qin, Yanxia",
booktitle = "Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.sdp-1.20",
pages = "215--219",
abstract = "This paper presents Papilusion, an AI-generated scientific text detector developed within the DAGPap24 shared task on detecting automatically generated scientific papers. We propose an ensemble-based approach and conduct ablation studies to analyze the effect of the detector configurations on the performance. Papilusion is ranked 6th on the leaderboard, and we improve our performance after the competition ended, achieving 99.46 (+9.63) of the F1-score on the official test set.",
}
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%0 Conference Proceedings
%T Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers
%A Andreev, Nikita
%A Shirnin, Alexander
%A Mikhailov, Vladislav
%A Artemova, Ekaterina
%Y Ghosal, Tirthankar
%Y Singh, Amanpreet
%Y Waard, Anita
%Y Mayr, Philipp
%Y Naik, Aakanksha
%Y Weller, Orion
%Y Lee, Yoonjoo
%Y Shen, Shannon
%Y Qin, Yanxia
%S Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F andreev-etal-2024-papilusion
%X This paper presents Papilusion, an AI-generated scientific text detector developed within the DAGPap24 shared task on detecting automatically generated scientific papers. We propose an ensemble-based approach and conduct ablation studies to analyze the effect of the detector configurations on the performance. Papilusion is ranked 6th on the leaderboard, and we improve our performance after the competition ended, achieving 99.46 (+9.63) of the F1-score on the official test set.
%U https://aclanthology.org/2024.sdp-1.20
%P 215-219
Markdown (Informal)
[Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers](https://aclanthology.org/2024.sdp-1.20) (Andreev et al., sdp-WS 2024)
ACL