Automated Textbook Auditing with Multi-Agent LLM Systems
arXiv:2607.11276v1 Announce Type: cross Abstract: Ensuring the quality of educational materials requires more than standard proofreading: textbooks must be audited for factual accuracy, domain-specific technical correctness, and linguistic quality simultaneously -- a task that general-purpose grammar checkers cannot address. We present \textbf{AI Textbook Auditor}, a modular multi-agent pipeline for automated quality assurance of educational materials across subject domains. The system accepts a
Record details
Published: 14 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (14 July 2026), “Automated Textbook Auditing with Multi-Agent LLM Systems,” evidence record 1564, https://ethics.ai/record/1564 (originally published by arXiv cs.CY).
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