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cs.CL2026
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 +2
In the age of advanced large language models (LLMs), the boundaries between human and AI-generated text are becoming increasingly blurred. We address the challenge of segmenting mi…
cs.CL2025
Mixture of Detectors: A Compact View of Machine-Generated Text Detection
Sai Teja Lekkala, Yadagiri Annepaka, Arun Kumar Challa +3
Large Language Models (LLMs) are gearing up to surpass human creativity. The veracity of the statement needs careful consideration. In recent developments, critical questions arise…
cs.CL2025
Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation
Lekkala Sai Teja, Annepaka Yadagiri, Partha Pakray +2
Generation of Artificial Intelligence (AI) texts in important works has become a common practice that can be used to misuse and abuse AI at various levels. Traditional AI detectors…