Most cited computer science papers
- Verified
FlowXpert: Expertizing Troubleshooting Workflow Orchestration with Knowledge Base and Multi-Agent Coevolution
Shi, B., Luo, Y., Wang, J., Zhao, Y., Zhang, S., Hao, B., Zhao, C., Sun, Y., Zhang, Z., Sun, R., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 7
- Verified · note
Understanding user mental models in AI-driven code completion tools: Insights from an elicitation study
Desolda, G., Esposito, A., Greco, F., Tucci, C., Buono, P., & Piccinno, A. (2025) · International Journal of Human-Computer Studies
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 7
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Deception at Scale: Deceptive Designs in 1K LLM-Generated E-Commerce Components
Chen, Z., Shen, J., Luna, Zhang, H., & Vaccaro, K. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIInnovative Human-Technology Interaction
Cited by 7
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Preserving Informative Presence: How Missing Data and Imputation Strategies Affect the Performance of an AI-Based Early Warning Score
Sim, T., Hahn, S., Kim, K.-J., Cho, E.-Y., Jeong, Y., Kim, J.-H., Ha, E.-Y., Kim, I.-C., Park, S.-H., Cho, C.-H., et al. (2025) · Journal of Clinical Medicine
Machine Learning in HealthcareHealthcare Technology and Patient Monitoring
Cited by 7
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Automatic configuration repair
Liu, X., Zhang, P., Abhashkumar, A., Chen, J., & Jiang, W. (2024) · Proceedings of the 23rd ACM Workshop on Hot Topics in Networks
Software Testing and Debugging TechniquesSoftware System Performance and Reliability
Cited by 7
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Legacy Web Application Modernization by Generating a REST Service Layer
Echeverria, R. R., Macias, F., Pavon, V. M., Conejero, J. M., & Figueroa, F. S. (2015) · IEEE Latin America Transactions
Web Applications and Data ManagementService-Oriented Architecture and Web Services
Cited by 7
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Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents
Ren, S., Xie, C., Jian, P., Ren, Z., Leng, C., & Zhang, J. (2025) · arXiv
Artificial Intelligence ApplicationsTopic Modeling
Cited by 7
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Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Hassan, A. E., Li, H., Lin, D., Adams, B., Chen, T.-H., Kashiwa, Y., & Qiu, D. (2025) · arXiv
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 7
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Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
Chen, L., Davis, J. Q., Hanin, B., Bailis, P., Stoica, I., Zaharia, M., & Zou, J. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Deformable Model-Based Vehicle Tracking and Recognition Using 3-D Constrained Multiple-Kernels and Kalman Filter
Liu, T., & Liu, Y. (2021) · IEEE Access
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 7
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Human strategy learning-based multi-agent deep reinforcement learning for online team sports game
Lee, S., Lee, G., Kim, W., Kim, J., Park, J., & Cho, K. (2025) · IEEE Access
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 7
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Current Pathology Foundation Models are unrobust to Medical Center Differences
de Jong, E. D., Marcus, E., & Teuwen, J. (2025) · arXiv
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 7
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
Hong, J., Liu, K., Ling, Z., Chen, J., & Levine, S. (2025) · arXiv
Reinforcement Learning in RoboticsNatural Language Processing Techniques
Cited by 7
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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Abassy, M., Elozeiri, K., Aziz, A., Ta, M. N., Tomar, R. V., Adhikari, B., Ahmed, S. E. D., Wang, Y., Mohammed Afzal, O., Xie, Z., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 7
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Pixel Level Image Encryption Based on Semantic Segmentation
Shan, Y., He, M., Yu, Z., & Wu, H. (2018) · 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 7
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Automatic Speech Recognition: Do Emotions Matter?
Catania, F., Crovari, P., Spitale, M., & Garzotto, F. (2019) · 2019 IEEE International Conference on Conversational Data & Knowledge Engineering (CDKE)
Speech Recognition and SynthesisEmotion and Mood Recognition
Cited by 7
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Scheming AIs: Will AIs fake alignment during training in order to get power?
Carlsmith, J. (2023) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 7
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Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness
Furth, N., Khreishah, A., Liu, G., Phan, N., & Jararweh, Y. (2022) · 2022 Ninth International Conference on Software Defined Systems (SDS)
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 7
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Architectural Consistency Checking in Plugin-Based Software Systems
Greifenberg, T., Müller, K., & Rumpe, B. (2015) · Proceedings of the 2015 European Conference on Software Architecture Workshops
Advanced Software Engineering MethodologiesModel-Driven Software Engineering Techniques
Cited by 7
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MicroNet: Operation Aware Root Cause Identification of Microservice System Anomalies
Yang, J., Guo, Y., Chen, Y., & Zhao, Y. (2024) · IEEE Transactions on Network and Service Management
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 7
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IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population
Ali, S. A., & Khan, R. (2023) · International Journal of Artificial Intelligence and Machine Learning
Internet of Things and AITechnology Use by Older Adults
Cited by 7
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A Dynamic Spatiotemporal Deep Learning Solution for Cloud–Edge Collaborative Industrial Control System Distributed Denial of Service Attack Detection
Cao, Z., Liu, B., Gao, D., Zhou, D., Han, X., & Cao, J. (2025) · Electronics
Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting
Cited by 7
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Efficient Benchmarking (of Language Models)
Perlitz, Y., Bandel, E., Gera, A., Arviv, O., Ein-Dor, L., Shnarch, E., Slonim, N., Shmueli-Scheuer, M., & Choshen, L. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Zhai, Y., Yang, T., Xu, K., Feng, D., Yang, C., Ding, B., & Wang, H. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 7
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