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20242026
most citedVMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark

1 citations · 2 across the 10 of their papers we have counts for

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cs.CV2025

LightHCG: a Lightweight yet powerful HSIC Disentanglement based Causal Glaucoma Detection Model framework

Daeyoung Kim

As a representative optic degenerative condition, glaucoma has been a threat to millions due to its irreversibility and severe impact on human vision fields. Mainly characterized b…

cs.CL2025★ 1 cited

VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark

Vy Tuong Dang, An Vo, Emilio Villa-Cueva +4

We introduce VMMU, a Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark designed to evaluate how vision-language models (VLMs) interpret and reason over visual a…

cs.CV2025

VDInstruct: Zero-Shot Key Information Extraction via Content-Aware Vision Tokenization

Son Nguyen, Giang Nguyen, Hung Dao +2

Key Information Extraction (KIE) underpins the understanding of visual documents (e.g., receipts and contracts) by extracting precise semantic content and accurately capturing spat…

cs.LG2025

B-score: Detecting biases in large language models using response history

An Vo, Mohammad Reza Taesiri, Daeyoung Kim +1

Large language models (LLMs) often exhibit strong biases, e.g, against women or in favor of the number 7. We investigate whether LLMs would be able to output less biased answers wh…

cs.LG2025

Vision Language Models are Biased

An Vo, Khai-Nguyen Nguyen, Mohammad Reza Taesiri +3

Large language models (LLMs) memorize a vast amount of prior knowledge from the Internet that helps them on downstream tasks but also may notoriously sway their outputs towards wro…