כתבה
arXiv cs.CL ·
CiteGuard-RAG: מערכת AI לשאלות ותשובות עם ראיות
CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering
מערכת AI חדשה לשאלות ותשובות עם ראיות, המשתמשת באימות בזמן ריצה.
תקציר מקורי באנגליתarXiv:2609.15830v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) can improve access to complex information; however, retrieving evidence alone does not ensure that answers are grounded, citation-valid, or appropriately refused. This paper introduces CiteGuard-RAG, a validation-centered AI system for evidence-grounded question answering. The system integrates hybrid semantic-lexical retrieval, citation-constrained generation, sentence-level grounding validation, and single-pass regeneration. Validation is used at runtime to determine whether a candidate answer should be accepted, refused, or regenerated before final delivery. CiteGuard-RAG is evaluated on 400 questions across a controlled housing-law dataset, PrivacyQA, and CUAD. In the controlled evaluation, it achieves
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