15 citations · 22 across the 4 of their papers we have counts for
4 papers
Efficient Function Orchestration for Large Language Models
Xiaoxia Liu, Peng Di, Cong Li +2
Function calling is a fundamental capability of today's large language models, but sequential function calling posed efficiency problems. Recent studies have proposed to request fu…
Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents
Zihan Liu, Ruinan Zeng, Dongxia Wang +5
In industrial control systems, the generation and verification of Programmable Logic Controller (PLC) code are critical for ensuring operational efficiency and safety. While Large…
S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
Xiaohan Yuan, Jinfeng Li, Dongxia Wang +9
Generative large language models (LLMs) have revolutionized natural language processing with their transformative and emergent capabilities. However, recent evidence indicates that…
Prompting Frameworks for Large Language Models: A Survey
Xiaoxia Liu, Jingyi Wang, Jun Sun +5
Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing abou…