The Signal

Everything that matters in AI, with our take.

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research1156 agents716 infra561 labs317 culture268 capital253 regulation233 claude175 openai149 safety103 security89 evaluation77 reasoning61 alignment52 benchmarks50 interpretability48

arXiv cs.CLPaper1d ago

CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering

This is the missing piece for production RAG: runtime validation that detects when the system is about to hallucinate and either fixes it or refuses to answer. The numbers are from controlled domains, but the architecture is general. If you're shipping RAG systems into regulated spaces like legal or compliance, this approach to grounding and citation validation is now table stakes.

rag agents grounding hallucination

arXiv cs.CLPaper7d ago

GANDR: Claim Auditing for Verifiable Legal Answer Generation

This solves a real grounding problem: citation-heavy domains need per-claim verification, not aggregate correctness scores. The two-agent pattern is clean and the strict criterion (every citation must resolve to retrieved passages) is credible. For anyone building legal research tools, financial advisory systems, or other high-stakes Q&A, this approach reduces hallucination risk materially. The framework transfers beyond law.

research grounding agents legal-ai