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• 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

• SoundNarratives: Rich Auditory Scene Descriptions to Support Deaf and Hard of Hearing People

  Liang-Yuan Wu, Dhruv Jain · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces SoundNarratives, a real-time system that generates rich, contextual auditory scene descriptions tailored to deaf and hard of hearing (DHH) users. Existing sound recognition technologies typically classify sounds into predefined categories like "door…

  deaf and hard of hearing · sound awareness · generative AI · audio-language models · prompt engineering

• When LLM-Generated Code Perpetuates User Interface Accessibility Barriers, How Can We Break the Cycle?

  Alexandra-Elena Gurita, Radu-Daniel Vatavu · 2025 · Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper evaluates the ability of large language models (LLMs) to generate accessible web user interfaces, comparing ChatGPT (GPT-4-turbo) and Claude (3.5 Haiku) across two prompting strategies: accessibility-agnostic prompts ("Design the homepage of a banking app") and…

  large language models · WCAG compliance · automated accessibility · prompt engineering · code generation

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