Qwen it detect machine-generated text?

Teodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu
1/16/2025
cs.CL

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Abstract

This paper describes the approach of the Unibuc - NLP team in tackling the Coling 2025 GenAI Workshop, Task 1: Binary Multilingual Machine-Generated Text Detection. We explored both masked language models and causal models. For Subtask A, our best model achieved first-place out of 36 teams when looking at F1 Micro (Auxiliary Score) of 0.8333, and second-place when looking at F1 Macro (Main Score) of 0.8301

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Cite this paper

@article{marchitan2025qwen,
  title  = {Qwen it detect machine-generated text?},
  author = {Teodor-George Marchitan and Claudiu Creanga and Liviu P. Dinu},
  year   = {2025},
  eprint = {2501.09813},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.09813v1}
}

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