作者位次 #3/4ACL 2026Findings· Findings of ACL
Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLM s via Noise Injection Prompting
Xingyou Yin · Ceyao Zhang · Min Hu · Kai Chen
摘要
Large Language Models (LLMs) have demonstrated effectiveness as zero-shot time series (TS) forecasters. While existing work often relies on fine-tuning specialized modules to bridge this gap, a distinct, yet challenging, paradigm aims to leverage truly off-the-shelf LLMs without any fine-tuning w...