AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This work proposes interactive tools and atomic rubrics for LLM agents to reliably assess accessibility and preliminary results on a subset of ACT test cases show substantially higher recall and precision than the strongest evaluated LLM-driven baseline.
This work presents an agentic framework that assigns a vision-language agent to each accessibility requirement, and implements the framework for 40 requirements from the Web Content Accessibility Guidelines (WCAG).
Automated accessibility evaluation systems increasingly leverage large language models (LLMs) to assess conformance with established standards like the Web Content Accessibility Guidelines (WCAG). However, a fundamental methodological tension exists between the probabilistic, generalization-based nature of LLM inferenc...
This work systematically map 14,767 papers introducing or updating evaluation resources from arXiv submissions between January 2022 and August 2026, using staged screening and automated full-text coding to examine changes in target systems and domains, evaluation materials and conditions, and scoring mechanisms.
Web accessibility is essential to ensure that websites are designed without barriers for people with disabilities. Despite the long-standing standards provided by the Web Content Accessibility Guidelines (WCAG), many web pages remain inaccessible even today. Automated tools such as axe-core and Lighthouse confirm this...
This work organizes accessibility navigation failures into a failure taxonomy and formalizes a browser-observable subset as executable Linear Temporal Logic properties over action-state traces and transforms accessibility knowledge into reusable checks of interface behavior over time.
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