y0news
← Feed
Back to feed
🧠 AI NeutralImportance 6/10

Citation-Enforced RAG for Fiscal Document Intelligence: Cited, Explainable Knowledge Retrieval in Tax Compliance

arXiv – CS AI|Akhil Chandra Shanivendra|
🤖AI Summary

Researchers have developed a new AI framework that uses citation-enforced retrieval-augmented generation (RAG) specifically for analyzing tax and fiscal documents. The system prioritizes transparency and explainability for tax authorities, showing improved citation accuracy and reduced AI hallucinations when tested on real IRS documents.

Key Takeaways
  • A new multimodal RAG framework has been designed specifically for fiscal document intelligence in tax compliance.
  • The system enforces citations during generation and can abstain from answering when evidence is insufficient.
  • Testing on real IRS and state tax documents showed improved citation fidelity and reduced AI hallucinations.
  • The framework preserves page-level provenance and adopts a source-first ingestion strategy for better auditability.
  • This represents a pathway toward trustworthy AI applications in high-stakes regulatory domains.
Read Original →via arXiv – CS AI
Act on this with AI
Stay ahead of the market.
Connect your wallet to an AI agent. It reads balances, proposes swaps and bridges across 15 chains — you keep full control of your keys.
Connect Wallet to AI →How it works
Related Articles