Multi-Agent Interactive Question Generation Framework for Long Document Understanding (2025 · 1 citation)
Long multi-page documents with complex layouts remain hard for Large Vision-Language Models (LVLMs). The authors attribute much of this to a lack of fine-grained multi-page QA training data, especially for Arabic, and note that existing long-document benchmarks depend on expensive human annotation. They propose a…
A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation (2025)
Large vision-language models handle single-page documents well, but they struggle when an answer depends on content spread across many pages.

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