Gull Mehak

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2025

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TechExperts(IPN) at GenAI Detection Task 1: Detecting AI-Generated Text in English and Multilingual Contexts
Gull Mehak | Amna Qasim | Abdul Gafar Manuel Meque | Nisar Hussain | Grigori Sidorov | Alexander Gelbukh
Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)

The ever-increasing spread of AI-generated text, driven by the considerable progress in large language models, entails a real problem for all digital platforms: how to ensure con tent authenticity. The team TechExperts(IPN) presents a method for detecting AI-generated content in English and multilingual contexts, using the google/gemma-2b model fine-tuned for COLING 2025 shared task 1 for English and multilingual. Training results show peak F1 scores of 97.63% for English and 97.87% for multilingual detection, highlighting the model’s effectiveness in supporting content integrity across platforms.
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