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ENTITY ChartQA

ChartQA

PulseAugur coverage of ChartQA — every cluster mentioning ChartQA across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_14346 ·

    Perceptual Flow Network and VGR enhance visual reasoning in LLMs

    Researchers have developed a Perceptual Flow Network (PFlowNet) to improve visual reasoning in Large-Vision Language Models (LVLMs). PFlowNet decouples perception from reasoning and uses variational reinforcement learni…

  2. RESEARCH · CL_06584 ·

    New benchmarks DRAGON and OmniSch test LMMs on diagram reasoning

    Researchers have introduced DRAGON, a new benchmark designed to evaluate how well vision-language models (VLMs) can ground their reasoning in specific visual evidence within diagrams. This benchmark addresses the limita…