← ATH

RESEARCH · GLOBAL

Multi-agent LLM framework tackles hallucination in financial Q&A systems

CIFQA is a deterministic tool-grounded framework using multiple LLM agents to answer calculation-intensive financial questions accurately. It grounds reasoning over structured rates, temporal conditions, numerical formulas, and rule-based constraints—addressing a critical gap where standalone LLMs produce numerical errors.

WHY IT MATTERS

Production financial QA systems (earnings calls, regulatory filings, pricing) depend on exact calculation. Tool-grounded agentic pipelines reduce hallucination risk, making LLM-driven financial analytics safer for compliance and risk workflows.

Source: arXiv · 2026-08-29

← BACK TO TODAY'S DECK

Multi-agent LLM framework tackles hallucination in financial Q&A systems — ath — AITechHive