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  - **Leaderboard** [https://grab-benchmark.github.io](https://grab-benchmark.github.io)
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  ### Dataset Summary
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- Large multimodal models (LMMs) have exhibited proficiences across many visual tasks. Although numerous benchmarks exist to evaluate model performance, they increasing have insufficient headroom and are **unfit to evaluate the next generation of frontier LMMs**.
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  To overcome this, we present **GRAB**, a challenging benchmark focused on the tasks **human analysts** might typically perform when interpreting figures. Such tasks include estimating the mean, intercepts or correlations of functions and data series and performing transforms.
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  - **Leaderboard** [https://grab-benchmark.github.io](https://grab-benchmark.github.io)
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  ### Dataset Summary
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+ Large multimodal models (LMMs) have exhibited proficiencies across many visual tasks. Although numerous benchmarks exist to evaluate model performance, they increasingly have insufficient headroom and are **unfit to evaluate the next generation of frontier LMMs**.
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  To overcome this, we present **GRAB**, a challenging benchmark focused on the tasks **human analysts** might typically perform when interpreting figures. Such tasks include estimating the mean, intercepts or correlations of functions and data series and performing transforms.
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