Author

Emilio Villa-Cueva

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#machine learning Preprint Aug 2025

VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark

VMMU, a Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark, is introduced to evaluate how vision-language models (VLMs) interpret and reason over visual and textual information beyond English, showing that the primary source of failure is not OCR, but instead multimodal grounding and reasoning over t...

V. Dang, A. Vo, Emilio Villa-Cueva et al. · 0 citations

#natural language process... Preprint Sep 2026

Deep and shallow biases in language models

A bias depth score is introduced that measures both how strongly a model prefers its top answer under direct prompting and whether that answer survives scenario reframing and shows that Deep biases are consistently harder to remove than Shallow biases.

A. Vo, V. Dang, Khai-Nguyen Nguyen et al. · 0 citations