NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities
Vision-language models (VLMs) increasingly power consumer-facing AI search, yet evaluating them on the diversity of everyday visual questions remains challenging. Existing benchmarks often target predefined capabilities, such as multi-hop retrieval or long-form synthesis, whereas users ask photo-grounded questions span...
Hao-Nan Jiang, Guo-Jian Zhan, Jian-Cong Xie et al.
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