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Spatially grounded visual memory can dramatically enhance the performance of EQA agents, breaking the accuracy-efficiency tradeoff in continuous settings.
Even top-performing Vision Language Models miss 30% of logical anomalies, revealing critical gaps in their reasoning abilities.
SOTA audio QA models are getting punked by trivia questions a toddler could answer, revealing a stark gap between current capabilities and true audio understanding.
