TRIDENT and SHAKTI: A Framework and Benchmark for Hindi AI-Text Detection

Summary

The authors introduce SHAKTI, a Hindi benchmark covering four genres, eight LLM families, multiple prompting strategies, and adversarial transformations, for detecting AI-generated text. They also propose TRIDENT, a round-trip translation detection framework with static, dynamic, and logistic-regression variants, where TRIDENT-S achieves the best overall performance and outperforms conventional and supervised baselines. The framework shows multilingual applicability and robustness across seven languages and adversarial settings, though it is sensitive to the translation model.