Decomposing Retrieval Failures in RAG for Long-Document Financial Question Answering

Amine Kobeissi, Philippe Langlais

Retrieval-augmented generation is increasingly used for financial question answering over long regulatory filings, yet reliability depends on retrieving the exact context needed to…