AI RESEARCH
Time Series Augmented Generation for Financial Applications
arXiv CS.AI
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ArXi:2604.19633v1 Announce Type: new 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 core ability to parse queries and orchestrate computations. To address this, we