Check computer science papers: citations, claims and retractions

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

Javaheripi, M., de Rosa, G. H., Mukherjee, S., Shah, S., Religa, T. L., Mendes, C. C. T., Bubeck, S., Koushanfar, F., & Dey, D. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 11

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification

Yuan, H., Hong, C., Jiang, P.-T., Zhao, G., Tran, N. T. A., Xu, X., Yan, Y. Y., & Liu, N. (2024) · Journal of Biomedical Informatics

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 11

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Ye, J., Wang, Y., Huang, Y., Chen, D., Zhang, Q., Moniz, N., Gao, T., Geyer, W., Huang, C., Chen, P.-Y., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 11

Automated placental abruption identification using semantic segmentation, quantitative features, SVM, ensemble and multi-path CNN

Asadpour, V., Puttock, E. J., Getahun, D., Fassett, M. J., & Xie, F. (2023) · Heliyon

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11

A Review on AI-Enabled Content Caching in Vehicular Edge Caching and Networks

Masood, A., Tuan, D. Q., Lakew, D. S., Dao, N.-N., & Cho, S. (2023) · 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

Caching and Content DeliveryVehicular Ad Hoc Networks (VANETs)

Cited by 11

aSGD: Stochastic Gradient Descent with Adaptive Batch Size for Every Parameter

Shi, H., Yang, N., Tang, H., & Yang, X. (2022) · Mathematics

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 11

Challenges and Solutions in Implementing Continuous Integration and Continuous Testing for Agile Quality Assurance

Bhanushali, A. (2023) · International Journal of Science and Research (IJSR)

Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques

Cited by 11

Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning

Muller-Brockhausen, M., Preuss, M., & Plaat, A. (2021) · 2021 IEEE Conference on Games (CoG)

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 11

Assessing and Analyzing the Correctness of GitHub Copilot's Code Suggestions

Mo, R., Wang, D., Zhan, W., Jiang, Y., Wang, Y., Zhao, Y., Li, Z., & Ma, Y. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTeaching and Learning Programming

Cited by 11

Voice in the Machine: Ethical Considerations for Language-Capable Robots

Williams, T., Matuszek, C., Jokinen, K., Korpan, R., Pustejovsky, J., & Scassellati, B. (2023) · Communications of the ACM

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 11

The Linear Representation Hypothesis and the Geometry of Large Language Models

Park, K., Choe, Y. J., & Veitch, V. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 11

Comparing the Accuracy of Multiple Commercial Wearable Devices: A Method

Pardamean, B., Soeparno, H., Mahesworo, B., Budiarto, A., & Baurley, J. (2019) · Procedia Computer Science

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 11

Autonomous Planetary Rover Navigation via Active SLAM

Li, G., Geng, Y., & Zhang, W. (2018) · Aircraft Engineering and Aerospace Technology

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 11

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Su, H., Luo, J., Liu, C., Yang, X., Zhang, Y., Dong, Y., & Zhu, J. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 11

Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants

Wei, K., Lin, Y.-R., & Yan, M. (2020) · Proceedings of The Web Conference 2020

Hate Speech and Cyberbullying DetectionSocial and Intergroup Psychology

Cited by 11

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models

Chen, F., Li, P., Luan, T. H., Su, Z., & Deng, J. (2025) · IEEE INFOCOM 2025 - IEEE Conference on Computer Communications

Natural Language Processing TechniquesTopic Modeling

Cited by 11

Efficient Specialisation in Prolog Using the Hand-Written Compiler Generator LOGEN

Leuschel, M., & Jørgensen, J. (2000) · Electronic Notes in Theoretical Computer Science

Logic, programming, and type systemsAdvanced Database Systems and Queries

Cited by 11

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp

Hong, R., Agnew, W., Kohno, T., & Morgenstern, J. (2024) · Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 11

KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection

Xu, Q., Ali, S., Yue, T., Nedim, Z., & Singh, I. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Anomaly Detection Techniques and ApplicationsTransportation Systems and Safety

Cited by 11

Tensor Image Registration Library: Automated Non-Linear Registration of Sparsely Sampled Histological Specimens to Post-Mortem MRI of the Whole Human Brain

Huszar, I. N., Pallebage-Gamarallage, M., Foxley, S., Tendler, B. C., Leonte, A., Hiemstra, M., Mollink, J., Smart, A., Bangerter-Christensen, S., Brooks, H., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 11

Learning With Sharing: An Edge-Optimized Incremental Learning Method for Deep Neural Networks

Hussain, M. A., Huang, S.-A., & Tsai, T.-H. (2023) · IEEE Transactions on Emerging Topics in Computing

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 11

Systems theoretic process analysis of information security: the case of aadhaar

Tarafdar, P., & Bose, I. (2019) · Journal of Organizational Computing and Electronic Commerce

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 11

Calibration of Model Uncertainty for Dropout Variational Inference

Laves, M.-H., Ihler, S., Kortmann, K.-P., & Ortmaier, T. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 11

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond

Mita, M., Sakaguchi, K., Hagiwara, M., Mizumoto, T., Suzuki, J., & Inui, K. (2022) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 11