Multi-Agent Interactive Question Generation Framework for Long Document Understanding
- URL: http://arxiv.org/abs/2507.20145v1
- Date: Sun, 27 Jul 2025 06:44:53 GMT
- Title: Multi-Agent Interactive Question Generation Framework for Long Document Understanding
- Authors: Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, Abdulaziz S. Albadawi, Ranya A. Alkahtani, Asma A. Ibrahim, Haneen A. Alhomoud, Sherif Mohamed, Pedro J. Moreno,
- Abstract summary: We propose a fully automated, multi-agent interactive framework to generate long-context questions efficiently.<n>Our approach efficiently generates high-quality single- and multi-page questions for extensive English and Arabic documents.
- Score: 5.059854277690664
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Document Understanding (DU) in long-contextual scenarios with complex layouts remains a significant challenge in vision-language research. Although Large Vision-Language Models (LVLMs) excel at short-context DU tasks, their performance declines in long-context settings. A key limitation is the scarcity of fine-grained training data, particularly for low-resource languages such as Arabic. Existing state-of-the-art techniques rely heavily on human annotation, which is costly and inefficient. We propose a fully automated, multi-agent interactive framework to generate long-context questions efficiently. Our approach efficiently generates high-quality single- and multi-page questions for extensive English and Arabic documents, covering hundreds of pages across diverse domains. This facilitates the development of LVLMs with enhanced long-context understanding ability. Experimental results in this work have shown that our generated English and Arabic questions (\textbf{AraEngLongBench}) are quite challenging to major open- and close-source LVLMs. The code and data proposed in this work can be found in https://github.com/wangk0b/Multi_Agentic_QA_Long_Doc.git. Sample Question and Answer (QA) pairs and structured system prompts can be found in the Appendix.
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