LLMs such as GPT-4o can generate coherent financial reports from time series data, and a proposed highlighting system categorizes report segments by whether they stem from data, reasoning, or external knowledge.
InPro- ceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 13190– 13200
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AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation
LLMs such as GPT-4o can generate coherent financial reports from time series data, and a proposed highlighting system categorizes report segments by whether they stem from data, reasoning, or external knowledge.