most citedAssessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models

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cs.IR2026

Light-FMP: Lightweight Feature and Model Pruning for Enhanced Deep Recommender Systems

Nghia Bui, Yue Ning, Lijing Wang

Deep recommender systems (DRS) often face challenges in balancing computational efficiency and model accuracy, especially when handling high-dimensional input features. Existing me…