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Author

Jun-Lin Jiang

2 papers indexed here

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Sep 2026

Cross-Modal Comprehensive Multi-Level Granularity Alignment for Vision-Language Pre-Training

Vision-Language Pre-training (VLP) aims to convert vision-language tasks into image-text matching challenges, necessitating robust interaction between visual and textual modalities. However, current research often faces a trade-off: methods pursuing fine-grained alignment typically rely on computationally expensive obj...

Jun-Lin Jiang, D. Vuković, Jie Cao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond Accuracy: Robustness, Cost, and Governance Trade-offs for Vision-Language Models in Templated Document Extraction

Vision-language models (VLMs) are increasingly used to extract structured fields from business documents, yet most evaluations report accuracy on clean benchmarks and offer little guidance to practitioners choosing an approach for a given task complexity. We address this gap with a measurement-grounded study and an ope...

Kush Patel, Pushkal Shrivastava, Mackenzie Lees et al. · 0 citations

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