pith:JRPOBI7F
Large Language Models for Web Accessibility: A Systematic Literature Review
A review of 38 studies finds LLMs mainly applied to text-centric and structural web accessibility tasks using WCAG as the core framework.
arxiv:2605.13873 v1 · 2026-05-06 · cs.DL · cs.AI · cs.HC
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\pithnumber{JRPOBI7FVFKUY4SAY5JRSPNQ6E}
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Claims
Our findings show that most studies apply LLMs to text-centric and structurally explicit accessibility tasks, with WCAG serving as the primary reference framework and limited consideration of cognitive accessibility guidelines (COGA).
The search strategy and inclusion criteria captured a representative sample of all relevant peer-reviewed work on LLMs for web accessibility without significant publication bias or missed studies.
A review of 38 studies finds LLMs mostly target text-based accessibility tasks under WCAG guidelines, with limited attention to cognitive issues and rare direct involvement of disabled users in evaluations.
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| First computed | 2026-05-17T23:39:19.292523Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JRPOBI7FVFKUY4SAY5JRSPNQ6E \
| jq -c '.canonical_record' \
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# expect: 4c5ee0a3e5a9554c7240c753193db0f10b4258c840dadb8a6b8c4239a096f230
Canonical record JSON
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