LLMs for Web Accessibility: A Systematic Review of 38 Studies
A systematic literature review examines the use of Large Language Models (LLMs) for web accessibility. Published on arXiv (2605.13873v1), the review analyzes 38 peer-reviewed studies. It investigates how LLMs support tasks like content generation, issue detection, and remediation. The study explores the accessibility tasks addressed, LLM models and prompting strategies, system architectures, and the accessibility issues and guidelines considered. It also evaluates the effectiveness of these approaches. The review aims to characterize current approaches and identify gaps in research.
Key facts
- arXiv:2605.13873v1
- Systematic literature review of 38 peer-reviewed studies
- Focuses on LLMs for web accessibility
- Covers content generation, issue detection, and remediation
- Examines LLM models, prompting strategies, and system architectures
- Analyzes accessibility issues and guidelines
- Includes comparative analysis of approaches
- Published as a cross-type announcement
Entities
Institutions
- arXiv