Papers by Nguyen Viet Anh

2 papers
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers (2026.findings-acl)

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Challenge: Existing jailbreak methods struggle to balance effectiveness with robustness against adaptive safety mechanisms.
Approach: They propose a novel approach that targets Large Reasoning Models through an adaptive encryption pipeline designed to overwhelm their reasoning capabilities.
Outcome: The proposed approach achieves an attack success rate of 85.6% on OpenAI GPT-o4-mini, outperforming state-of-the-art baselines by a significant margin of 17.2%.
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation (2025.naacl-long)

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Challenge: Existing approaches to multimodal entity linking use contrastive learning to align input sentences and entities, but are limited by their random negative sampling.
Approach: They propose a method to match negative samples with similar attributes using JD-CCL . they also propose 'contextual visual-aid controllable patch transform' experimental results demonstrate the strong effectiveness of their method .
Outcome: The proposed method is able to match negative samples with similar attributes on a multimodal knowledge graph.

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