3 papers
cs.CL2025
Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models
Ming Gong, Yingnan Deng, Nia Qi +3
This paper addresses the issues of parameter redundancy, rigid structure, and limited task adaptability in the fine-tuning of large language models. It proposes an adapter-based fi…
cs.LG2025
Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
Zhihao Xue, Yun Zi, Nia Qi +2
This paper proposes a spatiotemporal graph neural network-based performance prediction algorithm to address the challenge of forecasting performance fluctuations in distributed bac…
cs.CV2024
Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description
Xiaohan Cheng, Taiyuan Mei, Yun Zi +3
Zero sample learning is an effective method for data deficiency. The existing embedded zero sample learning methods only use the known classes to construct the embedded space, so t…