Open access
Jul 2026
Fine-tuned large language models enhance influenza forecasting.
A lightweight fine-tuning framework is developed that adapts pre-trained LLMs using compact embedding and prediction layers and evaluates it on seven weekly aggregated real-world surveillance datasets, establishing fine-tuned LLMs as efficient and robust forecasting tools suitable for privacy-sensitive, data-scarce pub...
Chen-Xiang Li, Wen-Jing Gao, Qiqiao Zhang et al.
· Cell Reports Methods · 0 citations