5 papers
Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models
Zhen Qi, Jiajing Chen, Shuo Wang +3
This study aims to explore the performance improvement method of large language models based on GPT-4 under the multi-task learning framework and conducts experiments on two tasks:…
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training
Jiajing Chen, Bingying Liu, Xiaoxuan Liao +3
With the rapid development of natural language processing technology, large-scale language models (LLM) have achieved remarkable results in a variety of tasks. However, how to effe…
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation
Jiajing Chen, Shuo Wang, Zhen Qi +3
This research introduces a novel text generation model that combines BERT's semantic interpretation strengths with GPT-4's generative capabilities, establishing a high standard in…
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
Yuxin Dong, Shuo Wang, Hongye Zheng +3
This study aims to optimize the existing retrieval-augmented generation model (RAG) by introducing a graph structure to improve the performance of the model in dealing with complex…
Automated Genre-Aware Article Scoring and Feedback Using Large Language Models
Chihang Wang, Yuxin Dong, Zhenhong Zhang +3
This paper focuses on the development of an advanced intelligent article scoring system that not only assesses the overall quality of written work but also offers detailed feature-…