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Ding-Yang Lin

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#small language model Preprint Sep 2026

Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs

Findings show that configuration changes can affect how models use information they can still read, and attention interventions in LLaVA-NeXT suggest that configuration changes can weaken the use of readable information during answering.

Ding-Yang Lin, Ying-Feng Luo, Cheng-Long Wang et al. · 0 citations

AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models

This work introduces AdaCultureSafe, a dataset designed to jointly evaluate cultural safety and knowledge and proposes a knowledge-grounded method that elicits internal cultural knowledge in LLMs during response generation, demonstrating that this approach effectively improves cultural safety.

Hankun Kang, Ding-Yang Lin, Zhi-Rong Liao et al. · 0 citations

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