WikiVQABench: Knowledge-Grounded Visual QA Benchmark Exposes VLM Knowledge Gaps

arXiv·low signal

Paper introduces WikiVQABench, a new VQA benchmark grounded in Wikipedia and Wikidata that tests whether vision-language models can answer questions requiring external knowledge beyond what's visible in the image. Most existing VQA benchmarks only test perception — this benchmark evaluates knowledge retrieval and reasoning, exposing a critical gap for builders relying on VLMs for document understanding or visual search.