Jin Yao Chin

P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models

With the growing size of data and models in Large Recommendation Models, the time required for debugging has become increasingly prohibitive, underscoring the urgent need for effective guidance in parameter configuration. The Scaling Law (SL) offers analogous guidance in the Sequential Language doma…