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How do you make an LLM cite its sources reliably?

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Answer

  • (1) Format retrieved docs with explicit IDs ('[doc 1]: ...', '[doc 2]: ...').
  • (2) Instruct the LLM to add [doc N] tags to every claim.
  • (3) Post-process: parse tags, verify each cited doc actually supports the claim (LLM-judge or NLI), and reject / regenerate if unsupported.
  • (4) Structured output: require the model to return {claim, sourceids[]\mathrm{source}_{\mathrm{ids}}[]} JSON.
  • (5) Fine-tune on citation-heavy examples.
  • Anthropic / OpenAI structured outputs make this reliable.
  • Critical for legal, medical, financial RAG.
Check yourself — multiple choice
  • Trust the LLM
  • Numbered doc IDs + tagging instruction + post-process verification + structured output + optional fine-tune
  • Only regex
  • Impossible

Reliable citations: numbered IDs + tag + verify + structured output + optional fine-tune.

#rag#reliability

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