5 papers · 1 filter
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…
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…
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…
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces
Advaitha Vetagiri, Gyandeep Kalita, Eisha Halder +3
Online gender-based harassment is a widespread issue limiting the free expression and participation of women and marginalized genders in digital spaces. Detecting such abusive cont…
TRAVID: An End-to-End Video Translation Framework
Prottay Kumar Adhikary, Bandaru Sugandhi, Subhojit Ghimire +2
In today's globalized world, effective communication with people from diverse linguistic backgrounds has become increasingly crucial. While traditional methods of language translat…