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• Benchmarking PDF Accessibility Evaluation: A Dataset and Framework for Assessing Automated and LLM-Based Approaches for Accessibility Testing

  Anukriti Kumar, Tanushree Padath, Lucy Lu Wang · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper addresses a critical gap in PDF accessibility evaluation by introducing the first expert-validated benchmark dataset and standardized evaluation framework for assessing how well different tools and approaches can evaluate PDF accessibility. Despite PDFs being the…

  PDF accessibility · automated testing · large language models · WCAG · PDF/UA

• AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code

  Nadeen Fathallah, Daniel Hernández, Steffen Staab · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces AccessGuru, a novel method that combines traditional automated accessibility testing tools with large language models (LLMs) to both detect and correct web accessibility violations in HTML code. The work addresses a persistent gap in accessibility tooling:…

  automated testing · web accessibility · large language models · HTML remediation · prompt engineering

• CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

  Peya Mowar, Yi-Hao Peng, Jason Wu, Aaron Steinfeld, Jeffrey P. Bigham · 2025 · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25)

  This paper addresses a persistent problem: despite decades of accessibility standards and tools, ~96% of web pages contain accessibility violations. The authors argue that AI coding assistants like GitHub Copilot represent an untapped opportunity because developers already use…

  web accessibility · AI coding assistants · developer tools · WCAG · automated testing

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