2025
FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
EMNLP 2025
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