6 citations · 6 across the 5 of their papers we have counts for
5 papers
LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP
Haowei Yang, Ziyu Shen, Junli Shao +3
Timely identification and accurate risk stratification of cardiovascular disease (CVD) remain essential for reducing global mortality. While existing prediction models primarily le…
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
Haowei Yang, Yu Tian, Zhongheng Yang +3
With the rapid adoption of large language models (LLMs) in recommendation systems, the computational and communication bottlenecks caused by their massive parameter sizes and large…
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…
An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation
Zijun Gao, Qi Wang, Taiyuan Mei +3
The traditional SegNet architecture commonly encounters significant information loss during the sampling process, which detrimentally affects its accuracy in image semantic segment…
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
Taiyuan Mei, Yun Zi, Xiaohan Cheng +3
The internal structure and operation mechanism of large-scale language models are analyzed theoretically, especially how Transformer and its derivative architectures can restrict c…