arXiv cs.LG
· Papers
Forecasting With LLMs: Improved Generalization Through Feature Steering
arXiv:2606.27199v1 Announce Type: cross Abstract: Successful forecasting involves identifying patterns between historical and future states of the world which generalize to future observations. We apply LLMs to a variety of forecasting tasks and inspect their internal states using sparse autoencoders to understand whet