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English(EN) VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries

新的VisInteract范式解决了不完美的视觉查询问题

研究人员推出了一种新颖的文本到可视化系统范式VisInteract,它解决了不完美用户查询的挑战。与假设输入明确的现有系统不同,VisInteract专为动态、交互驱动的意图恢复而设计。为了支持这一点,他们还开发了VisInteract-Bench,这是第一个用于交互式文本到可视化系统的基准测试,其中包括注入查询不完美的方法和一个用于真实多轮反馈的用户代理。提出的算法方法Vis-MCTS利用增强的蒙特卡洛树搜索技术来提高性能。 AI

影响 通过交互式澄清处理模糊的用户请求,增强了可视化工具的鲁棒性。

排序理由 介绍文本到可视化系统新范式和基准测试的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的VisInteract范式解决了不完美的视觉查询问题

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介绍文本到可视化系统新范式和基准测试的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wenxin Xu, Jinwei Lu, Hwanhee Kim, Chen Jason Zhang, Xiao-Yong Wei, Haoyang Li, Yuanfeng Song ·

    VisInteract:面向不完美查询的动态交互式文本到可视化

    arXiv:2609.15182v1 Announce Type: new Abstract: Real-world visualization requests are routinely ambiguous, incomplete, or factually incorrect, yet existing Text-to-Visualization (Text-to-Vis) systems assume well-specified inputs and produce charts in a single pass. When queries a…