Langwen Huang

Tuning preprocessing techniques can close the accuracy gap in time-series forecasting without the need for larger models, revealing surprising insights about optimal lookback periods and normalization strategies.

Weather models defy language model scaling trends: wider architectures and larger datasets yield bigger gains than deeper networks.