arXiv Machine Learning August 18, 2026 By Xingyu Zhang, Jingyao Wang, Zeen Song, Changwen Zheng, Wenwen Qiang

Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs

Read the original on arXiv Machine Learning →

arXiv:2602. 12756v2 Announce Type: replace Abstract: Large Language Models (LLMs) have recently shown exceptional potential in time series forecasting (TSF), leveraging their inherent sequential reasoning capabilities to model complex temporal dynamics.

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