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  # What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets
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- ### Publication: TBD (linked on publication)
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  ### GitHub Repo: [ReadingTimeMachine/LLM_VQA_JCDL2025](https://github.com/ReadingTimeMachine/LLM_VQA_JCDL2025)
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  This is a histogram-based dataset for visual question and answer (VQA) with humans and large language/multimodal models (LMMs).
 
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  # What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets
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+ ### Publication: [JCDL 2025 Website](https://2025.jcdl.org/accepted-contributions/#short-papers) and [on arXiv](https://arxiv.org/abs/2601.22218)
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  ### GitHub Repo: [ReadingTimeMachine/LLM_VQA_JCDL2025](https://github.com/ReadingTimeMachine/LLM_VQA_JCDL2025)
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  This is a histogram-based dataset for visual question and answer (VQA) with humans and large language/multimodal models (LMMs).