QA2 min read
VELD-QA: A Large-Scale Dataset for Visual Evidence Grounding and Question Answering in Long Documents
Existing long-document QA benchmarks rarely combine large-scale human-authored questions with detailed visual evidence annotations, limiting diagnosis of evidence localization and interpretation failures.
By Zhivar Sourati, Marianne Menglin Liu, Rongguang Wang, Zheng Wang, Yazhe Hu, Lan Guo, Yuying Wang, Mengqing Guo, Bhavesh Dnyaneshwar Gore, Shubham Pathak, Ramapriya Ranganath, Sandeep Sharma, Tao Sheng, Sujith Ravi, Dan RotharXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 16, 2026.
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