Journal & Article

Theory & Methods

I/F
# Journal I/F

ACM COMPUTING SURVEYS

A Survey of Commonsense Reasoning in LLMs Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities Deep Learning in Concealed Dense Prediction Erratum: Navigating Posit Arithmetic: A Comprehensive Survey of Principles, Hardware, and Applications Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI Explainability of Text Processing and Retrieval Methods: A Survey A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Evaluation Machine Learning for Cybersecurity: A Comprehensive Literature Review Privacy Preserving Identity Federation: A Literature Study AGI-Enabled Solutions for Service Explosion in IoX: A Cyber-Physical-Social-Thinking Perspective Identity and Access Management Metrics: A Systematic Review Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms Leveraging Machine Learning Models to Improve Smart Contract Security: A Survey of Vulnerabilities and Detection Methods. A Comprehensive Survey of Transformers in Text Recognition: Techniques, Challenges, and Future Directions. A Survey of Learned Indexes for the Multi-dimensional Space. The Role of the Internet of Things (IoT) in Achieving the United Nations (UN) Sustainable Development Goals (SDGs) - A Systematic Review. Future UAV/Drone Systems for Intelligent Active Surveillance and Monitoring. Build Optimization: A Systematic Literature Review. Intelligent Root Cause Localization in MicroService Systems: A Survey and New Perspectives A Quarter of a Century of Neuromorphic Architectures on FPGAs - An Overview Privacy in Collaborative Deep Learning Systems: A Taxonomy and Archetypes Website Fingerprinting Attacks and Defense Techniques: A Survey Uncertainty in Process Mining: Survey and Conceptual Framework Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Crystalline Material Discovery in the Era of Artificial Intelligence SE Perspective on LLMs: Biases in Code Generation, Code Interpretability, and Code Security Risks Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions Anomaly Detection using Knowledge Graphs: A Survey for Network Management and Cybersecurity Application A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives A Meta-Analysis of Music Emotion Recognition Studies Responsible AI Question Bank for Risk Assessment Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models Reinforcement Learning in the Era of Large Language Models: Challenges and Opportunities Shift-Left Techniques in Electronic Design Automation: A Survey Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey ROS 2 in a Nutshell: A Survey Vector Commitment Design, Analysis, and Applications: A Survey Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead Recent Advances in 3D Object and Scene Generation: A Survey Quantum Error Mitigation: A Comprehensive Survey AI-Driven Reliable SFC Deployment: Challenges, Opportunities, and Perspectives Putting the Human Back in the Loop: A Review of Interactive Bayesian Optimization A Survey on Cyber Resilience in IoT Networks: Challenges, Mechanisms, and Future Directions A Survey on Foundation Models for Personalized Federated Intelligence Survey on Verifiable Machine Learning Auditing the Shadows: A Review of Methods to Detect Shared Training Data in Large Language Models Blockchain in the Digital Twin Context: A Comprehensive Survey A Comprehensive Survey on Transformer-Based Machine Translation: Identifying Research Gaps and Solutions for Large Language Models Graph Neural Networks for Integrated Circuit Design, Reliability, and Security: Survey and Tool