Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial Queries
arXiv:2610.38631v1 Announce Type: new Abstract: Financial assistants answer questions that sound factual but depend on what the user leaves unsaid: what a data figure measures, which product variant is meant, and the investor's situation and the rules that apply. An assistant that ignores these can still answer with a real number from its data, one that answers a different question. We call this frame collapse. We study it in Indian mutual funds, where product variants and tax rules are formall…