Papers by Junyan Xu

2 papers
VLA-Mark: A cross modal watermark for large vision-language alignment models (2025.emnlp-main)

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Challenge: Existing text watermarking methods disrupt visual-textual alignment, leaving semantic-critical concepts vulnerable.
Approach: They propose a vision-aligned framework that embeds detectable watermarks into outputs . they combine localized patch affinity, global semantic coherence, contextual attention patterns .
Outcome: The proposed framework shows lower PPL and higher BLEU than conventional methods with near-perfect detection (98.8% AUC).
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models (2025.acl-long)

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Challenge: Experimental results demonstrate that the proposed approach outperforms traditional methods in both accuracy and efficiency.
Approach: They propose a language-guided framework that integrates large language models with computer-automated design to address these challenges.
Outcome: The proposed framework outperforms traditional methods in accuracy and efficiency, providing a powerful tool for automating industrial workflows and generating complex CAD models from textual prompts.

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