Research paper

An Empirical Study of VLM Pipelines for Long-Document QA

Research from AmazonPublished by Association for Computational LinguisticsOct 2026PDF

Explore practical pipeline choices when vision-language systems answer questions about long documents.

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Kenan E. Ak, Jay Mohta, Gwang Gook Lee, Yan Xu, Dimitrios Dimitriadis. An Empirical Study of VLM Pipelines for Long-Document QA. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. © 2026 Association for Computational Linguistics. CC BY 4.0. 10.18653/2026.emnlp-industry.141. Original PDF, unmodified.

CC BY 4.0