Financial QA with LLMs: Domain Knowledge Integration
Published:Dec 29, 2025 20:24
•1 min read
•ArXiv
Analysis
This paper addresses the limitations of LLMs in financial numerical reasoning by integrating domain-specific knowledge through a multi-retriever RAG system. It highlights the importance of domain-specific training and the trade-offs between hallucination and knowledge gain in LLMs. The study demonstrates SOTA performance improvements, particularly with larger models, and emphasizes the enhanced numerical reasoning capabilities of the latest LLMs.
Key Takeaways
Reference
“The best prompt-based LLM generator achieves the state-of-the-art (SOTA) performance with significant improvement (>7%), yet it is still below the human expert performance.”