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Focuses on identifying and classifying outputs generated by language models, including distinguishing between generated and human text. The research emphasizes the development of tools and techniques to detect nuances in language model outputs.
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 DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution L. D. M. S. Sai Teja N. Siva Gopala Krishna Ufaq Khan Muhammad Haris Khan Partha Pakray Atul Mishra | |||
 A Theoretically Grounded Hybrid Ensemble for Reliable Detection of LLM-Generated Text Sepyan Purnama Kristanto Lutfi Hakim | |||
 A Lightweight Approach to Detection of AI-Generated Texts Using Stylometric Features Sergey K. Aityan William Claster Karthik Sai Emani Sohni Rais Thy Tran | |||
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