WikiVQABench is a human-curated collection of Wikipedia-based VQA items that require both visual evidence and external knowledge from Wikidata to answer correctly.
Communications of the ACM , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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RCTEA introduces richness-guided co-training with attention and dual-view consensus to achieve state-of-the-art temporal entity alignment on public benchmarks.
citing papers explorer
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WikiVQABench: A Knowledge-Grounded Visual Question Answering Benchmark from Wikipedia and Wikidata
WikiVQABench is a human-curated collection of Wikipedia-based VQA items that require both visual evidence and external knowledge from Wikidata to answer correctly.
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RCTEA: Richness-guided Co-training for Temporal Entity Alignment
RCTEA introduces richness-guided co-training with attention and dual-view consensus to achieve state-of-the-art temporal entity alignment on public benchmarks.