3 papers
cs.CL2026
Locating Sycophancy Across Training Stages in Open Language Models
Jiarui Yao, Shweta Parihar, Nghia Tuan Bui +2
Language model assistants sometimes change a correct answer when the user suggests a wrong one. The behavior, called sycophancy, is usually attributed to preference-based post-trai…
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…
cs.LG2026
Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications
Nghia Bui, Lijing Wang
Fine-tuning pretrained models has become a standard approach to adapting pretrained knowledge to improve the accuracy on new sparse, imbalance datasets. However, issues arise when…