WildTableBench is the first QA benchmark for naturally occurring table images, where 21 multimodal models were evaluated and only one exceeded 50% accuracy.
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Empirical audit of Agentverse identifies 62 infrastructure gaps and proposes a 7-layer reference architecture for the agentic web by 2030.
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WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild
WildTableBench is the first QA benchmark for naturally occurring table images, where 21 multimodal models were evaluated and only one exceeded 50% accuracy.
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Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform
Empirical audit of Agentverse identifies 62 infrastructure gaps and proposes a 7-layer reference architecture for the agentic web by 2030.