Author

Junyeong Park

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Jul 2026

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability

This work introduces Pluralis v0.1, a novel multimodal, multi-regional, and multilingual dataset built from a culture-first perspective and calls upon the research community to utilize this foundation to advance the science of multilingual, multicultural evaluation to better support AI cultural alignment globally.

Alicia Parrish, Rajat C. Shinde, Sanket Badhe et al. · arXiv.org · 0 citations

Preprint Aug 2026

Investigating Social Bias in Narrative Image Generation

This work compares bias expression across photo, storyboard, and comic generation in six T2I models by adapting BBG, a text-based bias evaluation framework, to image generation and finds that photos mainly encode biases through subtle visual cues, while storyboards and comics reveal them more explicitly through event sequencing, character positioning, narrative resolution, and textual elements.

Junyeong Park, Sowon Min, Euna Jang et al. · 1 citation