LLMs Can Teach Themselves to Better Predict the Future

Benjamin Turtel, Danny Franklin, Philipp Schoenegger

We present an outcome-driven fine-tuning framework that enhances the forecasting capabilities of large language models (LLMs) without relying on human-curated reasoning samples. Ou…