Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There is currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. We review existing AC literature within the lens of our taxonomies, outline relevant design choices of configuration approaches, contrast methods and problem variants against each other, and describe the state of AC in industry. Finally, our review provides researchers and practitioners with a look at future research directions in the field of AC.
AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys
University of Texas at Arlington（德克萨斯理工大学）；AI Agent Lab（人工智能代理实验室）；Indiana University（印第安纳大学）；Ohio State University（俄亥俄州立大学）；Imperial College London（伦敦帝国理工学院）；Georgia Institute of Technology（佐治亚理工学院）；Appcubic（Appcubic公司）；Emory University（埃默里大学）
RisConFix: LLM-based Automated Repair of Risk-Prone Drone Configurations
School of Computer Science Nanjing University of Posts and Telecommunications（南京邮电大学计算机科学学院）；School of Computer Science and Engineering Beihang University（北京航空航天大学计算机科学与工程学院）
LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
Ingenuity Labs Research Institute, Queen’s University（英杰实验室研究 institute，皇后大学）；School of Computing, Queen’s University（计算学院，皇后大学）；Department of Electrical and Computer Engineering, Queen’s University（电气与计算机工程学院，皇后大学）
SmartHomeSecure: Automated Detection and Repair of Smart Home Configuration Errors Using Large Language Models
Myers-Lawson School of Construction, Virginia Polytechnic Institute and State University（Myers-Lawson工程学院，弗吉尼亚理工学院和州立大学）；School of Technology, Eastern Illinois University（技术学院，东伊利诺伊大学）
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
School of Engineering Science（工程科学学院）；Shandong Xiehe University（山东谢河大学）；Department of Electrical Engineering（电气工程系）；Northwestern University（西北大学）；Department of Computer Science（计算机科学系）；Pace University（帕克大学）
Benchmark and Survey of Automated Machine Learning Frameworks
USU Software AG（USU软件股份公司）；Institute of Industrial Manufacturing and Management IFF（工业制造与管理研究所（IFF））；University of Stuttgart（斯图加特大学）；Fraunhofer Institute for Manufacturing Engineering and Automation IPA（弗劳恩霍夫制造工程与自动化研究所（IPA））
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Columbia University（哥伦比亚大学）；Alibaba-NTU Joint Research Institute（阿里巴巴-南洋理工大学联合研究所）；Nanyang Technological University（南洋理工大学）；Universidade Federal Fluminense（弗卢米嫩塞联邦大学）
A Survey on Automated Diagnosis of Alzheimer's Disease Using Optical Coherence Tomography and Angiography
Isik University（伊希克大学）；Istanbul Technical University（伊斯坦布尔技术大学）
视网膜光学相干断层扫描（OCT）和光学相干断层血管造影（OCTA）是（早期）诊断阿尔茨海默病（AD）的有前途的工具。这些非侵入性成像技术具有成本效益，比其他神经成像工具更容易获得。然而，即使对于受过训练的从业者来说，对OCT设备产生的多切片扫描进行解释和分类也是耗时且具有挑战性的。有关于机器学习和深度学习方法的调查，涉及对各种疾病（如青光眼）的OCT扫描的自动分析。然而，目前的文献缺乏广泛的调查阿尔茨海默病或认知功能障碍的诊断使用OCT或OCTA。这促使我们针对需要介绍该问题的机器/深度学习科学家或从业者进行全面调查。论文包含1）介绍阿尔茨海默病和认知障碍的医学背景以及使用OCT和OCTA成像模式进行诊断，2）从自动化分析的角度回顾该问题和子问题的各种技术建议，3）对最近的深度学习研究和可用的OCT/OCTA数据集直接针对阿尔茨海默病和认知障碍的诊断。对于后者，我们使用Publish or Perish Software从Scopus、PubMed和Web of Science等各种来源搜索相关研究。我们遵循PRISMA方法筛选了3073篇参考文献的初始库，并确定了10项直接针对AD诊断的相关研究（N=10，3073）。我们发现缺乏开放的OCT/OCTA数据集（关于阿尔茨海默病）是阻碍该领域进展的主要问题。
Large language models for automated scholarly paper review: A survey
School of Computer Science and Engineering, Guangzhou Institute of Science and Technology（计算机科学与工程学院，科学与技术研究院）；School of Economics and Management, Guizhou Normal University（经济学与管理学院，贵州师范大学）；School of Artificial Intelligence, Guangzhou Institute of Science and Technology（人工智能学院，科学与技术研究院）
Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods
Department of Computer Science and Mathematics, Freie Universität Berlin（自由大学柏林计算机科学与数学系）；Continental Automotive（大陆汽车）；Computation, Information and Technology, Technical University of Munich（慕尼黑技术大学计算、信息与技术系）
Learning Guided Automated Reasoning: A Brief Survey
Czech Technical University in Prague（捷克技术大学布拉格）；Radboud University Nijmegen（拉德堡德大学奈杰姆）；Czech Academy of Sciences Institute for Computer Science（捷克科学院计算机科学研究所）；University of Innsbruck（因斯布鲁克大学）
