In the rapidly evolving landscape of site reliability engineering (SRE), the demand for efficient and effective solutions to manage and resolve issues in site and cloud applications is paramount. This paper presents an innovative approach to action automation using large language models (LLMs) for script generation, assessment, and refinement. By leveraging the capabilities of LLMs, we aim to significantly reduce the human effort involved in writing and debugging scripts, thereby enhancing the productivity of SRE teams. Our experiments focus on Bash scripts, a commonly used tool in SRE, and involve the CodeSift dataset of 100 tasks and the InterCode dataset of 153 tasks. The results show that LLMs can automatically assess and refine scripts efficiently, reducing the need for script validation in an execution environment. Results demonstrate that the framework shows an overall improvement of 7-10% in script generation.
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Technical University of Munich（慕尼黑工业大学）；Munich Institute of Robotics and Machine Intelligence (MIRMI)（慕尼黑机器人与机器智能研究所）；University College London（伦敦大学学院）
Text-to-Layout: A Generative Workflow for Drafting Architectural Floor Plans Using LLMs
Department of Civil and Environmental Engineering, University of Houston（土木与环境工程系，休斯顿大学）；Center for Transportation Research, The University of Texas at Austin（交通研究中心，德克萨斯大学奥斯汀分校）；Department of Information Science Technology, University of Houston（信息科学与技术系，休斯顿大学）
Evolving Excellence: Automated Optimization of LLM-based Agents
University of Leeds（利兹大学）；City, University of London（伦敦城市大学）；University of West London（西伦敦大学）；University of Edinburgh（爱丁堡大学）；University of Surrey（萨里大学）；University of Warwick（沃里克大学）；King's College London（伦敦国王学院）
AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations
Computer Network Information Center, Chinese Academy of Sciences（中国科学院计算机网络信息中心）；University of Chinese Academy of Sciences（中国科学院大学）；Hangzhou Institute for Advanced Study, UCAS（杭州先进研究所）；National Genomics Data Center, China National Center for Bioinformation（国家基因组科学数据中心）；Beijing Institute of Genomics, Chinese Academy of Sciences（中国科学院北京基因组研究所）
PowderLine: a programmatic powder diffraction analysis application
National Synchrotron Light Source II, Brookhaven National Laboratory（美国国家同步光源二号，布鲁海文国家实验室）；Materials Science and Engineering, University of Florida（佛罗里达大学材料科学与工程）
