Most cited computer science papers
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SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
Lee, J., Baek, I., Kim, B., Bae, H., & Lee, H. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 3
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Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Casper, S., Schulze, L., Patel, O., & Hadfield-Menell, D. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 3
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Hyperchaotic fractional-order image encryption with Knight’s tour scrambling for satellite imagery
Mamdouh, E., Aboshousha, A., & Alexan, W. (2026) · Scientific Reports
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 3
- VerifiedRetracted
B-Ultrasound Image Analysis of Intrauterine Pregnancy Residues after Mid-Term Pregnancy Based on Smart Medical Big Data
He, H., Liu, R., Zhou, X., Zhang, Y., Yu, B., Xu, Z., & Huang, H. (2022) · Journal of Healthcare Engineering
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 3
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A Tour of the Student's E-Learning Puddle
Mitha, V. (2018) · Advanced Computing: An International Journal
Educational Technology and E-LearningTechnology-Enhanced Education Studies
Cited by 3
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Embedded Dense Camera Trajectories in Multi-Video Image Mosaics by Geodesic Interpolation-based Reintegration
Haalck, L., & Risse, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging
Cited by 3
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MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Wang, Z., Li, X., Xia, R., & Liu, P. (2024) · Advances in Neural Information Processing Systems 37
Topic ModelingMathematics, Computing, and Information Processing
Cited by 3
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Push-me, pull-me: describing and designing technologies for varying degrees of reflection and invention
Nelson, E. J., & Freier, N. G. (2008) · Proceedings of the 7th international conference on Interaction design and children
Innovative Human-Technology InteractionDesign Education and Practice
Cited by 3
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Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery
Chen, Z., Lu, L., Yuan, Z., Zhu, Y., Li, Y., Yuan, C., & Deng, W. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Image Processing TechniquesFace recognition and analysis
Cited by 3
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Implementing a Variational Quantum Eigensolver using Superconducting Qubits
Colless, J., Ramasesh, V., Dahlen, D., Blok, M., McClean, J., Carter, J., de Jong, W. A., & Siddiqi, I. (2017) · Quantum Information and Measurement (QIM) 2017
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 3
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Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Sun, Z., Yu, L., Shen, Y., Liu, W., Yang, Y., Welleck, S., & Gan, C. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 3
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AgentSquare: Automatic LLM Agent Search in Modular Design Space
Shang, Y., Li, Y., Zhao, K., Ma, L., Liu, J., Xu, F., & Li, Y. (2024) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 3
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Beyond Hamming Distance: Exploring spatial encoding in perceptual hashes
McKeown, S. (2025) · Forensic Science International: Digital Investigation
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 3
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Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Mekonnen, K. A., Tang, Y., & de Rijke, M. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorTopic Modeling
Cited by 3
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The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems
Abdelshiheed, M., Hostetter, J. W., Shabrina, P., Barnes, T., & Chi, M. (2023) · arXiv
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 3
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Implementasi Modul Otomatisasi Penetration Testing Menggunakan Bourne Again Shell Scripting pada Website Aplikasi Stream PT. Intikom Berlian Mustika Berbasis Kali Linux
Fadhilah, F., & Adrian, R. (2023) · Jurnal Sistem dan Teknologi Informasi (JustIN)
Web Application Security VulnerabilitiesNetwork Security and Intrusion Detection
Cited by 3
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Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Chen, X., Xu, J., Liang, T., He, Z., Pang, J., Yu, D., Song, L., Liu, Q., Zhou, M., Zhang, Z., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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The free/open source software movement Resistance or change?
Georgopoulou, P. (2009) · Civitas - Revista de Ciências Sociais
Open Source Software InnovationsPolitical Economy and Marxism
Cited by 3
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A Framework for Identifying Sequences of Interactions That Cause Usability Problems in Collaborative Systems
Bringas, S., Duque, R., Nieto-Reyes, A., Tîrnăucă, C., & Montaña, J. L. (2021) · Electronics
Usability and User Interface DesignSoftware Engineering Techniques and Practices
Cited by 3
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AI for All: Adaptive, Accessible, and Inclusive Learning Experiences in the Age of Intelligent LMSs
Angeioplastis, A., Konstantakis, M., Aliprantis, J., Ordoumpozanis, K., Varsamis, D., & Tsimpiris, A. (2026) · Information
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 3
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Development and Validation of Deep Learning‐ and Ensemble Learning‐Based Biological Ages in the NHANES Study
Huang, Y., Yang, X., Wang, Q., Abula, A., Dong, Y., & Li, W. (2025) · Frontiers in Aging Neuroscience
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 3
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When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
Akhtar, M., Reuel, A., Soni, P., Ahuja, S., Ammanamanchi, P. S., Rawal, R., Zouhar, V., Yadav, S., Whitehouse, C., Ki, D., et al. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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Direct FFT oversampling without zero-padding
Donciu, C., Temneanu, M. C., & Serea, E. (2025) · Scientific Reports
Digital Filter Design and ImplementationAdvanced Electrical Measurement Techniques
Cited by 3
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Process Reinforcement through Implicit Rewards
Cui, G., Yuan, L., Wang, Z., Wang, H., Zhang, Y., Chen, J., Li, W., He, B., Fan, Y., Yu, T., et al. (2025) · arXiv
Reinforcement Learning in RoboticsTopic Modeling
Cited by 3
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