Open access
2026
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...
Ioannis Tsantilis, Panagiotis G. Giannopoulos, Thomas K. Dasaklis et al.
· IEEE Access · 0 citations