Author

Darryl C. Jacob

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#artificial intelligence Preprint Oct 2026

AdaCast: Conditional Parameter Generation for Adaptive Time Series Forecasting

Time-series foundation models (TSFMs) have achieved strong forecasting performance across domains. However, most adaptation methods remain static. Existing all-in-one methods learn a single set of dataset-level parameter updates and apply the same adapted model to every input. As a result, they cannot adapt the model p...

Darahaas Nallagatla, Darryl C. Jacob, Pan He · 0 citations

#artificial intelligence May 2026

OISD: On-Policy Internal Self-Distillation of Language Models

The OISD framework is proposed, which improves reasoning by transferring on-policy predictive signals from the final layer to intermediate representations and employs signed advantage-weighted Jensen--Shannon alignment to distill informative intermediate representations while preserving policy consistency under a unifi...

Xin-Yu Liu, Darryl C. Jacob, Yang Zhou et al. · arXiv.org · 0 citations