Check computer science papers: citations, claims and retractions

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

Manakul, P., Liusie, A., & Gales, M. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 14

Differentially Private Knowledge Distillation for Mobile Analytics

Lyu, L., & Chen, C.-H. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 14

Ecosystem Graphs: The Social Footprint of Foundation Models

Bommasani, R., Soylu, D., Liao, T., Creel, K., & Liang, P. (2023) · Research Square

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 14

Sky and Ground Segmentation in the Navigation Visions of the Planetary Rovers

Kuang, B., Rana, Z. A., & Zhao, Y. (2021) · Sensors

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 14

Warder: Online Insider Threat Detection System Using Multi-Feature Modeling and Graph-Based Correlation

Jiang, J., Chen, J., Gu, T., Choo, K.-K. R., Liu, C., Yu, M., Huang, W., & Mohapatra, P. (2019) · MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 14

Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models

Huang, X., Wang, X., Zhang, H., Zhu, Y., Xi, J., An, J., Wang, H., Liang, H., & Pan, C. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 14

User Experience of In-Vehicle Gesture Interaction: Exploring the Effect of Autonomy and Competence in a Mock-Up Experiment

Stiegemeier, D., Bringeland, S., Kraus, J., & Baumann, M. (2022) · Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Interactive and Immersive DisplaysHand Gesture Recognition Systems

Cited by 14

Interactive Design for New Media and the Web

Iuppa, N. (2001) · Routledge eBooks

Digital Media and Visual ArtUsability and User Interface Design

Cited by 14

Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty

Gao, C., Grupp, R. B., Unberath, M., Taylor, R. H., & Armand, M. (2020) · Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling

Medical Image Segmentation TechniquesBone fractures and treatments

Cited by 14

RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Rasch, M. J., Gokmen, T., Rigotti, M., & Haensch, W. (2019) · Frontiers in Neuroscience

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 14

Digital assessment environments for scientific inquiry practices

Gobert, J. D., & Sao Pedro, M. A. (2016) · The Handbook of Cognition and Assessment

Intelligent Tutoring Systems and Adaptive LearningScience Education and Pedagogy

Cited by 14

An Instruction Set Architecture for Machine Learning

Chen, Y., Lan, H., Du, Z., Liu, S., Tao, J., Han, D., Luo, T., Guo, Q., Li, L., Xie, Y., et al. (2018) · ACM Transactions on Computer Systems

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 14

Measuring AI Ability to Complete Long Software Tasks

Kwa, T., West, B., Becker, J., Deng, A., Garcia, K., Hasin, M., Jawhar, S., Kinniment, M., Rush, N., Von Arx, S., et al. (2025) · arXiv

Artificial Intelligence ApplicationsSoftware Engineering Research

Cited by 14

Evanescence in coined quantum walks

Carteret, H. A., Richmond, B., & Temme, N. M. (2005) · Journal of Physics A: Mathematical and General

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 14

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Ma, Y., Gou, Z., Hao, J., Xu, R., Wang, S., Pan, L., Yang, Y., Cao, Y., & Sun, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 14

Learning machine learning

Lewis, T. G., & Denning, P. J. (2018) · Communications of the ACM

Machine Learning and AlgorithmsArtificial Intelligence Applications

Cited by 14

An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection

Jonnalagadda, A., Rajvir, M., Singh, S., Chandramouliswaran, S., George, J., & Kamalov, F. (2023) · Journal of Information & Knowledge Management

Emotion and Mood RecognitionMental Health via Writing

Cited by 14

Generative AI and Perceptual Harms: Who's Suspected of using LLMs?

Kadoma, K., Metaxa, D., & Naaman, M. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 14

Developing machine learning products better and faster at startups

Shams, R. (2018) · IEEE Engineering Management Review

Software Engineering Techniques and PracticesBusiness Strategies and Innovation

Cited by 14

Security test MOODLE: a penetration testing case study

Mudiyanselage, A. K., & Pan, L. (2020) · International Journal of Computers and Applications

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 14

Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection

Suchý, I., & Turčaník, M. (2026) · Scientific Reports

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 14

TDEG based framework and tools for innovation in teaching technical drawing: The example of LaMoo project

Villa, V., Motyl, B., Paderno, D., & Baronio, G. (2018) · Computer Applications in Engineering Education

Educational Technology and AssessmentEngineering Education and Curriculum Development

Cited by 14

Sustaining Maintenance Labor for Healthy Open Source Software Projects through Human Infrastructure: A Maintainer Perspective

Linåker, J., Link, G., & Lumbard, K. (2024) · Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 14

Automated Cyberbullying Detection in Social Media Using an SVM Activated Stacked Convolution LSTM Network

Buan, T. A., & Ramachandra, R. (2020) · Proceedings of the 2020 4th International Conference on Compute and Data Analysis

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 14