FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts

• URL: http://arxiv.org/abs/2406.19237v2
• Date: Fri, 28 Jun 2024 05:43:46 GMT
• Title: FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
• Authors: Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth,
• Abstract summary: FlowVQA is a novel benchmark aimed at assessing the capabilities of visual question-answering multimodal language models in reasoning with flowcharts as visual contexts. We conduct a thorough baseline evaluation on a suite of both open-source and proprietary multimodal language models using various strategies. The results underscore the benchmark's potential as a vital tool for advancing the field of multimodal modeling.
• Score: 41.84175991112392
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing benchmarks for visual question answering lack in visual grounding and complexity, particularly in evaluating spatial reasoning skills. We introduce FlowVQA, a novel benchmark aimed at assessing the capabilities of visual question-answering multimodal language models in reasoning with flowcharts as visual contexts. FlowVQA comprises 2,272 carefully generated and human-verified flowchart images from three distinct content sources, along with 22,413 diverse question-answer pairs, to test a spectrum of reasoning tasks, including information localization, decision-making, and logical progression. We conduct a thorough baseline evaluation on a suite of both open-source and proprietary multimodal language models using various strategies, followed by an analysis of directional bias. The results underscore the benchmark's potential as a vital tool for advancing the field of multimodal modeling, providing a focused and challenging environment for enhancing model performance in visual and logical reasoning tasks.

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