Time Series Augmented Generation for Financial Applications
arXiv:2604.19633v1 Announce Type: new
Abstract: Evaluating the reasoning capabilities of Large Language Models (LLMs) for complex, quantitative financial tasks is a critical and unsolved challenge. Standard benchmarks often fail to isolate an agent’s …