Counter Turing Test ($CT^2$): Investigating AI-Generated Text Detection for Hindi - Ranking LLMs based on Hindi AI Detectability Index ($ADI_{hi}$)
Abstract: The widespread adoption of large language models (LLMs) and awareness around multilingual LLMs have raised concerns regarding the potential risks and repercussions linked to the misapplication of AI-generated text, necessitating increased vigilance. While these models are primarily trained for English, their extensive training on vast datasets covering almost the entire web, equips them with capabilities to perform well in numerous other languages. AI-Generated Text Detection (AGTD) has emerged as a topic that has already received immediate attention in research, with some initial methods having been proposed, soon followed by the emergence of techniques to bypass detection. In this paper, we report our investigation on AGTD for an indic language Hindi. Our major contributions are in four folds: i) examined 26 LLMs to evaluate their proficiency in generating Hindi text, ii) introducing the AI-generated news article in Hindi (AG\textsubscript{hi}) dataset, iii) evaluated the effectiveness of five recently proposed AGTD techniques: ConDA, J-Guard, RADAR, RAIDAR and Intrinsic Dimension Estimation for detecting AI-generated Hindi text, iv) proposed Hindi AI Detectability Index ($ADI_{hi}$) which shows a spectrum to understand the evolving landscape of eloquence of AI-generated text in Hindi. To encourage further research in this field, we will be making the models and datasets available. The code and dataset can be found \href{https://anonymous.4open.science/r/AGTD_Hindi-BC43/}{here}.
Paper Type: Long
Research Area: Resources and Evaluation
Research Area Keywords: corpus creation; benchmarking; language resources; multilingual corpora; datasets for low resource languages; metrics; reproducibility
Contribution Types: Reproduction study, Approaches to low-resource settings, Publicly available software and/or pre-trained models, Data resources, Data analysis, Surveys
Languages Studied: Hindi
Submission Number: 4618
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