2 papers
cs.CL2025
Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
Hongye Zheng, Yichen Wang, Ray Pan +3
This paper presents a gradient-informed fine-tuning method for large language models under few-shot conditions. The goal is to enhance task adaptability and training stability when…
cs.LG2025
Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
Lu Dai, Wenxuan Zhu, Xuehui Quan +3
To improve the identification of potential anomaly patterns in complex user behavior, this paper proposes an anomaly detection method based on a deep mixture density network. The m…