Evidence-linked developments
- LLMs can be 'confidently wrong' in finance; internal states needed for detectionFactual summary
New research highlights that LLMs can exhibit 'confident hallucinations' in financial question answering, where external outputs appear correct but underlying reasoning is flawed. Reliably detecting these issues requires analysing internal model activations, moving beyond surface-level evaluation. This directly impacts G-SIB model validation, necessitating enhanced real-time risk monitoring frameworks to improve trust in deployed financial AI applications.