RAG for Long-Form QA

Retrieval is necessary: Confirms that retrieval is an important component for long-form QA, but that evidence documents must be carefully curated and ordered.

Attribution errors: Documents attribution errors - where the model cites passages that don't actually support its claims - and shows these spike when retrieved docs lack sufficient evidence.

Document ordering: Demonstrates that document order within the context substantially affects long-form QA attribution accuracy.

Practical guidelines: Offers concrete guidelines for document selection, ordering, and prompting to reduce hallucination in long-form RAG outputs.