Check computer science papers: citations, claims and retractions

Code review for newcomers: is it different?

Kovalenko, V., & Bacchelli, A. (2018) · Proceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 18

On kernel methods for covariates that are rankings

Mania, H., Ramdas, A., Wainwright, M. J., Jordan, M. I., & Recht, B. (2018) · Electronic Journal of Statistics

Machine Learning and ELMMachine Learning and Algorithms

Cited by 18

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation

Singh, A., Brooks, C., Wang, X., Li, W., Kim, J., & Wilson, D. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 18

An Exploration of Decentralized Moderation on Mastodon

Bono, C. A., La Cava, L., Luceri, L., & Pierri, F. (2024) · ACM Web Science Conference

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 18

Training Socially Aligned Language Models on Simulated Social Interactions

Liu, R., Yang, R., Jia, C., Zhang, G., Zhou, D., Dai, A. M., Yang, D., & Vosoughi, S. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 18

Hibou: A Family of Foundational Vision Transformers for Pathology

Nechaev, D., Pchelnikov, A., & Ivanova, E. (2024) · arXiv

AI in cancer detectionAdvanced Neural Network Applications

Cited by 18

Asymptotically Efficient Quantum Karatsuba Multiplication

Gidney, C. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic

Cited by 18

Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection

Martín-Doñas, J. M., Álvarez, A., Rosello, E., Gomez, A. M., & Peinado, A. M. (2024) · Interspeech 2024

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 18

A Close Look into the Calibration of Pre-trained Language Models

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 18

Assessing efficiency of prompts based on learner characteristics

Backhaus, J., Jeske, D., Poinstingl, H., & Koenig, S. (2017) · Computers

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 18

SmartABAC: Enabling Constrained IoT Devices to Make Complex Policy-Based Access Control Decisions

Fedrecheski, G., De Biase, L. C. C., Calcina-Ccori, P. C., de Deus Lopes, R., & Zuffo, M. K. (2022) · IEEE Internet of Things Journal

Access Control and TrustIoT and Edge/Fog Computing

Cited by 18

Benchmarking TensorFlow Lite Quantization Algorithms for Deep Neural Networks

Orasan, I. L., Seiculescu, C., & Caleanu, C. D. (2022) · 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI)

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 18

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

White, M., Haddad, I., Osborne, C., Liu, X.-Y. Y., Abdelmonsef, A., Varghese, S., & Hors, A. L. (2024) · arXiv

Ethics and Social Impacts of AIScientific Computing and Data Management

Cited by 18

arXivEdits: Understanding the Human Revision Process in Scientific Writing

Jiang, C., Xu, W., & Stevens, S. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesAcademic Writing and Publishing

Cited by 18

Nonlinear dynamical system approximation and adaptive control based on hybrid‐feed‐forward recurrent neural network: Simulation and stability analysis

Shobana, R., Kumar, R., & Jaint, B. (2024) · Expert Systems

Neural Networks and ApplicationsControl Systems and Identification

Cited by 18

Optimal Policies Tend To Seek Power

Turner, A. M., Smith, L., Shah, R., Critch, A., & Tadepalli, P. (2019) · arXiv

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 18

CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation

Shen, Z., Yan, H., Zhang, L., Hu, Z., Du, Y., & He, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features

Wang, J., & Moulden, A. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignTechnology Adoption and User Behaviour

Cited by 18

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Zhang, Q., Gao, C., Chen, D., Huang, Y., Huang, Y., Sun, Z., Zhang, S., Li, W., Fu, Z., Wan, Y., et al. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 18

Artificial intelligence: its role in dermatopathology

Jartarkar, S. R. (2022) · Indian Journal of Dermatology Venereology and Leprology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 18

The Role of Data and Artificial Intelligence in Driving Diversity, Equity, and Inclusion

Chauhan, P. S., & Kshetri, N. (2022) · Computer

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 18

Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization

Romero, S. V., Visuri, A.-M., Cadavid, A. G., Simen, A., Solano, E., & Hegade, N. N. (2025) · Communications Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 18

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework

Rao, A., Ledig, C., Newcombe, V., Menon, D., & Rueckert, D. (2014) · 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 18

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Skreta, M., Yoshikawa, N., Arellano-Rubach, S., Ji, Z., Kristensen, L. B., Darvish, K., Aspuru-Guzik, A., Shkurti, F., & Garg, A. (2023) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 18