MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models (LMMs) for Integrated Capabilities

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/08/Screenshot-2024-08-09-at-10.59.33-AM-300x208.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/08/Screenshot-2024-08-09-at-10.59.33-AM-1024x709.png" tabindex="0" role="button"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/08/Screenshot-2024-08-09-at-10.59.33-AM-300x208.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/08/Screenshot-2024-08-09-at-10.59.33-AM-1024x709.png" tabindex="0" role="button">Large Language Models (LMMs) are developing significantly and proving to be capable of handling more complicated jobs that call for a blend of different integrated skills. Among these jobs include GUI navigation, converting images to code, and comprehending films. A number of benchmarks, including MME, MMBench, SEEDBench, MMMU, and MM-Vet, have been established in order […]

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