Ziqin Zhu

David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning

Large language models (LLMs) have demonstrated remarkable reasoning capabilities, including in financial question answering (FQA). However, the performance in FQA remains limited, particularly in questions that require deep financial knowledge and complex numerical reasoning. While supervised fine-t