NoteVQA: Benchmarking VLMs on Real-Life Questions from Human Communities.

arXiv:2609.15695v2 Announce Type: replace Abstract: 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 c