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New benchmark reveals misleading charts degrade web agent performance by 34%

A new benchmark, MisVisAgentBench, has been developed to evaluate how misleading visualizations impact the performance of web agents. This benchmark includes 280 task instances with paired clean and misleading chart evidence. When clean charts were replaced with misleading ones, the success rate of thirteen different vision-language web agents decreased by over 34 percentage points, indicating a critical vulnerability in their reliability and safety. AI

IMPACT Highlights a critical vulnerability in web agents, suggesting a need for improved robustness against deceptive visual data to ensure reliable AI operation.

RANK_REASON The cluster contains a new academic paper introducing a benchmark for evaluating AI agent reliability. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark reveals misleading charts degrade web agent performance by 34%

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The cluster contains a new academic paper introducing a benchmark for evaluating AI agent reliability. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yisheng Li, Dongming Han, Hongkun Pan, Bingcheng Mao, Zijian Wang, Yunlong Mao, Wei Tong, Sheng Zhong ·

    When Charts Deceive Web Agents: A Paired Benchmark for Misleading Visualization-Grounded Tasks

    arXiv:2610.12823v1 Announce Type: new Abstract: Web agents increasingly browse, interpret, and act on web content on behalf of users. In many realistic workflows, however, the visual evidence they consume is not neutral: charts and dashboards can be misleading, shaping judgments …