Gunjan Jalori

FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series

Time series Forecasting with large language models (LLMs) requires bridging numerical patterns and natural language. Effective forecasting on LLM often relies on extensive pre-processing and fine-tuning. Recent studies show that a frozen LLM can rival specialized forecasters when supplied with a car