4 papers
Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
Ye Yang, Xue Xiao, Ping Yin +1
API calls by large language models (LLMs) offer a cutting-edge approach for data analysis. However, their ability to effectively utilize tools via API calls remains underexplored i…
A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models
Gengxian Cao, Fengyuan Li, Hong Duan +3
This paper introduces a novel multi-Agent framework that automates the end to end production of Qinqiang opera by integrating Large Language Models , visual generation, and Text to…
EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms
Donghe Li, Zuchen Li, Ye Yang +3
Communication encryption is crucial in computer technology, but existing algorithms struggle with balancing cost and security. We propose EncGPT, a multi-agent framework using larg…
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
Jiaheng Li, Donghe Li, Ye Yang +5
The growing penetration of renewable energy sources in power systems has increased the complexity and uncertainty of load forecasting, especially for integrated energy systems with…