Check computer science papers: citations, claims and retractions

Human and Machine: How Software Engineers Perceive and Engage with AI-Assisted Code Reviews Compared to Their Peers

Alami, A., & Ernst, N. (2025) · 2025 IEEE/ACM 18th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE)

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 15

Large Language Models are Inconsistent and Biased Evaluators

Stureborg, R., Alikaniotis, D., & Suhara, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Watermarking Pre-trained Language Models with Backdooring

Gu, C., Huang, C., Zheng, X., Chang, K.-W., & Hsieh, C.-J. (2022) · arXiv

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 15

Situated interfaces for engaging citizens on the go

Hespanhol, L., Tomitsch, M., McArthur, I., Fredericks, J., Schroeter, R., & Foth, M. (2015) · interactions

Interactive and Immersive DisplaysInnovative Human-Technology Interaction

Cited by 15

MEGA: Multilingual Evaluation of Generative AI

Ahuja, K., Diddee, H., Hada, R., Ochieng, M., Ramesh, K., Jain, P., Nambi, A., Ganu, T., Segal, S., Axmed, M., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Leveraging Context-Aware Fogging for Advanced Remote Patient Monitoring and Healthcare in Modern Life

Poddar, H., Roy, V., Bhoyar, M., Gangrade, A., Venkata Kowshik, K. N., & Rathod, P. (2025) · 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 15

BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Xiang, Z., Jiang, F., Xiong, Z., Ramasubramanian, B., Poovendran, R., & Li, B. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks

Neacşu, A., Pesquet, J.-C., & Burileanu, C. (2024) · ACM Transactions on Intelligent Systems and Technology

Adversarial Robustness in Machine LearningMuscle activation and electromyography studies

Cited by 15

Managing data for a randomised controlled clinical trial: experience from the WHO Antenatal Care Trial

Pinol, A., Bergel, E., Chaisiri, K., Diaz, E., & Gandeh, M. (1998) · Paediatric and Perinatal Epidemiology

Research Data Management PracticesStatistical Methods in Clinical Trials

Cited by 15

Low-overhead quantum computing with the color code

Thomsen, F., Kesselring, M. S., Bartlett, S. D., & Brown, B. J. (2024) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 15

A Systematic Review of Prompt Injection Attacks on Large Language Models: Trends, Taxonomy, Evaluation, Defenses, and Opportunities

Damacena Duarte, J., Cândido, G. D., De Britto Filho, J. R. A., Souza Neto, J., Da Costa, E. J., Da Costa, J. P. J., & Peotta De Melo, L. (2026) · IEEE Access

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

Tariq, S., Woo, S. S., Singh, P., Irmalasari, I., Gupta, S., & Gupta, D. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionExplainable Artificial Intelligence (XAI)

Cited by 15

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Lee, C., Roy, R., Xu, M., Raiman, J., Shoeybi, M., Catanzaro, B., & Ping, W. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 15

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

Gerstgrasser, M., Schaeffer, R., Dey, A., Rafailov, R., Sleight, H., Hughes, J., Korbak, T., Agrawal, R., Pai, D., Gromov, A., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 15

Recognizing Hospital Care Activities with a Coat Pocket Worn Smartphone

Bahle, G., Gruenerbl, A., Bignotti, E., Zeni, M., Giunchiglia, F., & Lukowicz, P. (2014) · Proceedings of the 6th International Conference on Mobile Computing, Applications and Services

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 15

Internet Traffic Classification Using Machine Learning: A Token-based Approach

Wang, Y., Xiang, Y., & Yu, S. (2011) · 2011 14th IEEE International Conference on Computational Science and Engineering

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 15

Design and Implementation of a Computerized User Authentication System for E-Learning

Khan, F., & Alotaibi, S. R. (2020) · International Journal of Emerging Technologies in Learning (iJET)

User Authentication and Security SystemsBiometric Identification and Security

Cited by 15

Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook -- a Grey Literature Review

Fawzy, A., Tahir, A., & Blincoe, K. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 15

High-Resolution Complex Scene Synthesis with Transformers

Jahn, M., Rombach, R., & Ommer, B. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 15

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data

Feng, Y., Xu, Z., Gan, L., Chen, N., Yu, B., Chen, T., & Wang, F. (2019) · 2019 IEEE International Conference on Data Mining (ICDM)

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 15

User Interface Redesign of Dental Clinic ERP System using Design Thinking: A Case Study

Suzianti, A., & Arrafah, G. (2019) · Proceedings of the 2019 5th International Conference on Industrial and Business Engineering

Usability and User Interface DesignElectronic Health Records Systems

Cited by 15

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning

Hanjie, A. W., Zhong, V., & Narasimhan, K. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 15

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions

Bassignana, E., Curry, A. C., & Hovy, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 15

“How do humans make sense?” multiscale dynamics and emergent meaning

Dale, R., & Kello, C. T. (2018) · New Ideas in Psychology

Neural Networks and Reservoir ComputingEmbodied and Extended Cognition

Cited by 15