IEEE

Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset Expansion

Abstract: An approach to detecting suicide risk in social media posts is presented, addressing the challenges of limited and imbalanced datasets. The proposed workflow combines large language models ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...