G. S. dos Santos

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series

Results show that generated explanations approached analyst-written explanations in terms of readability, consistency and persuasiveness, demonstrating that grounded explanation generation for time series forecasting can be achieved at scale without domain-specific fine-tuning.