Ioannis Tsantilis

A Novel Tokenization-Free GPT-2 Mechanism for Intermittent Demand Forecasting

Intermittent demand — spare parts, slow-moving SKUs, long-tail retail — has been one of forecasting’s oldest open problems, and the recent wave of LLM-based forecasters has not yet settled the picture. Across the literature, the design choices that shape an LLM forecaster — backbone, output head, loss function, input r...