Check computer science papers: citations, claims and retractions

Better & Faster Large Language Models via Multi-token Prediction

Gloeckle, F., Idrissi, B. Y., Rozière, B., Lopez-Paz, D., & Synnaeve, G. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Utilizing Social Clustering-Based Regression Model for Predicting Student’s GPA

Hassan, Y. M. I., Elkorany, A., & Wassif, K. (2022) · IEEE Access

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 15

A Review on Software Maintenance Issues and How to Reduce Maintenance Efforts

Kaur, U., & Singh, G. (2015) · International Journal of Computer Applications

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 15

Defeating Prompt Injections by Design

Debenedetti, E., Shumailov, I., Fan, T., Hayes, J., Carlini, N., Fabian, D., Kern, C., Shi, C., Terzis, A., & Tramèr, F. (2026) · 2026 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 15

Learning and transfer of human real-time control strategies

Nechyba, M. C., The Robotics Institute Carnegie Mellon University, P., & Xu, Y. (1997) · Journal of Advanced Computational Intelligence and Intelligent Informatics

Neural Networks and ApplicationsHuman-Automation Interaction and Safety

Cited by 15

SignLLM: Sign Language Production Large Language Models

Fang, S., Chen, C., Wang, L., Zheng, C., Sui, C., & Tian, Y. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Hand Gesture Recognition SystemsMultimodal Machine Learning Applications

Cited by 15

Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer

Huang, N., Zhang, Y., & Dong, W. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art

Cited by 15

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia

Vezhnevets, A. S., Agapiou, J. P., Aharon, A., Ziv, R., Matyas, J., Duéñez-Guzmán, E. A., Cunningham, W. A., Osindero, S., Karmon, D., & Leibo, J. Z. (2023) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 15

Challenges for orchestration and instance selection of composite services in distributed edge clouds

Simoens, P., Van Herzeele, L., Vandeputte, F., & Vermoesen, L. (2015) · 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 15

The Complexity of Stoquastic Local Hamiltonian Problems

Bravyi, S., DiVincenzo, D. P., Oliveira, R. I., & Terhal, B. M. (2006) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 15

How Reliable are Model Diagnostics?

Aribandi, V., Tay, Y., & Metzler, D. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 15

An Integrated Vulnerability Assessment ofElectronic Commerce Websites

Bagabaga College of Education, T., Baako, I., & Umar, S. (2020) · International Journal of Information Engineering and Electronic Business

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 15

Static vs. adaptive feedback congestion controller for ATM networks

Liu, Y.-C., & Douligeris, C. (2002) · Proceedings of GLOBECOM '95

Network Traffic and Congestion ControlTraffic control and management

Cited by 15

Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning

Ovadya, A., & Whittlestone, J. (2019) · arXiv

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 15

Interpreting Visual Representations of Neural Networks via Network Dissection

Zhou, B., Bau, D., Oliva, A., & Torralba, A. (2018) · Journal of Vision

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 15

DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

Ma, Y., Zhang, S., Wang, J., Wang, X., Zhang, Y., & Deng, Z. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 15

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Sel, B., Al-Tawaha, A., Khattar, V., Jia, R., & Jin, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Exploring social learning in collaborative augmented reality with pedagogical agents as learning companions

Zielke, M. A., Zakhidov, D., Lo, T., Craig, S. D., Rege, R., Pyle, H., Meer, N. V., & Kuo, N. (2025) · International Journal of Human–Computer Interaction

Augmented Reality ApplicationsIntelligent Tutoring Systems and Adaptive Learning

Cited by 15

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Denninnart, C., Chanikaphon, T., & Amini Salehi, M. (2023) · Software: Practice and Experience

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 15

Auditing large language models for race & gender disparities: Implications for artificial intelligence-based hiring

Gaebler, J. D., Goel, S., Huq, A., & Tambe, P. (2024) · Behavioral Science & Policy

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 15

Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment tools

Greene, T., Shmueli, G., Fell, J., Lin, C.-F., & Liu, H.-W. (2022) · Journal of the Royal Statistical Society Series A: Statistics in Society

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 15

Similarity Learning For Cover Song Identification Using Cross-Similarity Matrices of Multi-Level Deep Sequences

Jiang, C., Yang, D., & Chen, X. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 15

Casual Conversations: A dataset for measuring fairness in AI

Hazirbas, C., Bitton, J., Dolhansky, B., Pan, J., Gordo, A., & Ferrer, C. C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Face recognition and analysisEthics and Social Impacts of AI

Cited by 15

Direction-aware video demoiréing with temporal-guided bilateral learning

Xu, S., Song, B., Chen, X., & Zhou, J. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 15