14 citations · 67 across the 7 of their papers we have counts for
7 papers
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren, Zilin Jiang, Jinghan Cao +6
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in t…
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
Yichao Wu, Yafei Xiang, Shuning Huo +2
In addressing the computational and memory demands of fine-tuning Large Language Models(LLMs), we propose LoRA-SP(Streamlined Partial Parameter Adaptation), a novel approach utiliz…
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
Shuning Huo, Yafei Xiang, Hanyi Yu +2
In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resource…
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
Hanyi Yu, Shuning Huo, Mengran Zhu +2
In recent years, the expansion of internet technology and advancements in automation have brought significant attention to autonomous driving technology. Major automobile manufactu…
Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
Yafei Xiang, Hanyi Yu, Yulu Gong +2
With the rapid development of artificial intelligence technology, Transformer structural pre-training model has become an important tool for large language model (LLM) tasks. In th…
Utilizing Deep Learning for Enhancing Network Resilience in Finance
Yulu Gong, Mengran Zhu, Shuning Huo +2
In the age of the Internet, people's lives are increasingly dependent on today's network technology. Maintaining network integrity and protecting the legitimate interests of users…
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
Mengran Zhu, Yulu Gong, Yafei Xiang +2
Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions. This paper explores the applica…