Most cited computer science papers
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Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
Verma, R., Barrejón, D., & Nalisnick, E. (2022) · arXiv
Machine Learning and AlgorithmsMachine Learning and Data Classification
Cited by 3
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HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
Urlana, A., Kanumolu, G., Kumar, C. V., Garlapati, B. M., & Mishra, R. (2025) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 3
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TMRB: Trusted Multimedia Scheme With Redactable Blockchain
Zhang, T. (2025) · IEEE Transactions on Consumer Electronics
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 3
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Masked Faces with Faced Masks
Zhu, J., Guo, Q., Juefei-Xu, F., Huang, Y., Liu, Y., & Pu, G. (2022) · arXiv
Face recognition and analysisAdversarial Robustness in Machine Learning
Cited by 3
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AI Control: Improving Safety Despite Intentional Subversion
Greenblatt, R., Shlegeris, B., Sachan, K., & Roger, F. (2023) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 3
- Verified · noteRetracted
RETRACTED: Intelligent fuzzy edge computing for real-time decision making in IoT-based digital twin environments
Prasath, N., Arun, A., Saravanan, B., & Kamaraj, K. (2025) · Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
IoT and Edge/Fog ComputingDigital Transformation in Industry
Cited by 3
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Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics
Zhu, Y., Sui, D., Wang, Z., Hu, X., Gu, L., Qi, Y., Wu, T., Wang, L., Wei, Y., Tang, W., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 3
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AI Assistance Reduces Persistence and Hurts Independent Performance
Liu, G., Christian, B., Dumbalska, T., Bakker, M. A., & Dubey, R. (2026) · arXiv
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 3
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A Machine with Short-Term, Episodic, and Semantic Memory Systems
Kim, T., Cochez, M., Francois-Lavet, V., Neerincx, M., & Vossen, P. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 3
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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) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 3
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How Good Are Large Language Models at Arithmetic Reasoning in Low-Resource Language Settings?—A Study on Yorùbá Numerical Probes with Minimal Contamination
Oyesanmi, F., & Olukanmi, P. O. (2025) · Applied Sciences
Topic ModelingNatural Language Processing Techniques
Cited by 3
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ConStat: Performance-Based Contamination Detection in Large Language Models
Dekoninck, J., Müller, M. N., & Vechev, M. (2024) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 3
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Role of Artificial Intelligence in Cognitive Radio Networks
Singhal, S., Gupta, S., & Sinha, A. (2019) · Advances in Wireless Technologies and Telecommunication
Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification
Cited by 3
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Equivariant Networks for Zero-Shot Coordination
Muglich, D., de Witt, C. S., van der Pol, E., Whiteson, S., & Foerster, J. (2022) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 3
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How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
Bai, L., Huang, Z., Wang, X., Sun, J., Mihalcea, R., Brynjolfsson, E., Pentland, A., & Pei, J. (2026) · arXiv
Software Engineering ResearchArtificial Intelligence Applications
Cited by 3
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Detection of AI-generated Text: An Experimental Study
Kalra, M. P., Mathur, A., & Patvardhan, C. (2024) · 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC)
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 3
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Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Mei, K., Tu, Z., Delbracio, M., Talebi, H., Patel, V. M., & Milanfar, P. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 3
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MediSee: Reasoning-based Pixel-level Perception in Medical Images
Tong, Q., Lu, Z., Liu, J., Zheng, Y., & Lu, Z. (2025) · arXiv
Multimodal Machine Learning ApplicationsMedical Image Segmentation Techniques
Cited by 3
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Pandemic data challenges
(2020) · Nature Machine Intelligence
COVID-19 Digital Contact TracingPrivacy-Preserving Technologies in Data
Cited by 3
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Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective
Dycke, N., Simpson, E., Kuznetsov, I., & Gurevych, I. (2021) · arXiv
Recommender Systems and TechniquesGame Theory and Voting Systems
Cited by 3
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Improving Substation Network Security with DevSecOps and AIOps
Yu, W., Qian, J., Xu, R., Jin, C., Fang, H., & Shi, X. (2024) · 2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity)
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 3
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Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
Rey, V. F., Garewal, K. K., & Lukowicz, P. (2020) · arXiv
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 3
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Autonomous Evaluation and Refinement of Digital Agents
Pan, J., Zhang, Y., Tomlin, N., Zhou, Y., Levine, S., & Suhr, A. (2024) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 3
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One Bad NOFO? AI Governance in Federal Grantmaking
Bateyko, D., & Levy, K. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 3
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