Check computer science papers: citations, claims and retractions

Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph

Fang, L., Feng, K., Gui, J., Feng, S., & Hu, A. (2023) · Proceedings of the VLDB Endowment

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 21

A Survey of the Model Context Protocol (MCP): Standardizing Context to Enhance Large Language Models (LLMs)

Singh, A., Ehtesham, A., Kumar, S., & Khoei, T. T. (2025) · Preprints.org

Artificial Intelligence ApplicationsTopic Modeling

Cited by 21

Best Practices and Lessons Learned on Synthetic Data

Liu, R., Wei, J., Liu, F., Si, C., Zhang, Y., Rao, J., Zheng, S., Peng, D., Yang, D., Zhou, D., et al. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 21

Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Qu, Y., Zhang, T., Garg, N., & Kumar, A. (2024) · Advances in Neural Information Processing Systems 37

AI-based Problem Solving and PlanningIntelligent Tutoring Systems and Adaptive Learning

Cited by 21

Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study

Zobaed, S., & Amini Salehi, M. (2025) · Software Practice and Experience

Security and Verification in ComputingCryptography and Data Security

Cited by 21

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking

Xu, N., Wang, F., Zhou, B., Li, B., Xiao, C., & Chen, M. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 21

The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism

Goldenfein, J. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 21

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Yue, X., Qu, X., Zhang, G., Fu, Y., Huang, W., Sun, H., Su, Y., & Chen, W. (2023) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 21

Extensible Authentication Protocol (EAP) Authentication Using Only a Password

Harkins, D., & Zorn, G. (2010)

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 21

Ethical algorithm design

Kearns, M., & Roth, A. (2020) · ACM SIGecom Exchanges

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 21

Shelley: A Crowd-sourced Collaborative Horror Writer

Yanardag, P., Cebrian, M., & Rahwan, I. (2021) · Creativity and Cognition

Artificial Intelligence in GamesEmotion and Mood Recognition

Cited by 20

Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity

Shuster, K., Urbanek, J., Szlam, A., & Weston, J. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 20

Latency lags bandwidth

Patterson, D. (2006) · 2005 International Conference on Computer Design

Parallel Computing and Optimization TechniquesSoftware System Performance and Reliability

Cited by 20

Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education

Elnaffar, S., Rashidi, F., & Abualkishik, A. Z. (2026) · International Journal of Learning, Teaching and Educational Research

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 20

Machine Learning Pipelines: From Research to Production

Posoldova, A. (2020) · IEEE Potentials

Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices

Cited by 20

MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions

Liu, Y., Lin, L., Yu, F., Zhou, C., & Li, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 20

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 20

Exploring the Effect of Device Aging on Static Power Analysis Attacks

Karimi, N., Moos, T., & Moradi, A. (2019) · IACR Transactions on Cryptographic Hardware and Embedded Systems

Cryptographic Implementations and SecurityPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 20

Towards Making the Most of ChatGPT for Machine Translation

Peng, K., Ding, L., Zhong, Q., Shen, L., Liu, X., Zhang, M., Ouyang, Y., & Tao, D. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 20

Post-COVID public health surveillance and privacy expectations in the United States: scenario-based interview study

Seberger, J. S., & Patil, S. (2021) · JMIR mHealth and uHealth

COVID-19 Digital Contact TracingPrivacy, Security, and Data Protection

Cited by 20

Using Captum to Explain Generative Language Models

Miglani, V., Yang, A., Markosyan, A. H., Garcia-Olano, D., & Kokhlikyan, N. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 20

AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning

Duan, C., Jia, T., Li, Y., & Huang, G. (2023) · 2023 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 20

Clean‐label poisoning attacks on federated learning for IoT

Yang, J., Zheng, J., Baker, T., Tang, S., Tan, Y., & Zhang, Q. (2023) · Expert Systems

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 20

Deep Perceptual Hash Based on Hash Center for Image Copyright Protection

Sun, X., & Zhou, J. (2022) · IEEE Access

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 20