Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Multimodal large language models (MLLMs) have shown great potential in perception and interpretation tasks, but their capabilities in predictive reasoning remain under-explored. To address this gap, we introduce a novel benchmark that assesses the predictive reasoning capabilities of MLLMs across diverse scenarios. Our benchmark targets three impor...
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Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
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TN_cdi_proquest_journals_2880592668
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2880592668
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2331-8422
