Most cited computer science papers
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Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Chen, Z., Deng, Y., Yuan, H., Ji, K., & Gu, Q. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 13
- Verified · note
Blockchain financialization, neo-colonialism, and Binance
Jutel, O. (2023) · Frontiers in Blockchain
Blockchain Technology Applications and SecurityHousing, Finance, and Neoliberalism
Cited by 13
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Author Identification of Software Source Code with Program Dependence Graphs
Chen, R., Hong, L., Chunyan Lü, C., & Deng, W. (2010) · 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops
Software Engineering ResearchAuthorship Attribution and Profiling
Cited by 13
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Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering
Wu, G., Peng, W., Hu, X., Wang, R., & Chen, H. (2020) · Swarm and Evolutionary Computation
Metaheuristic Optimization Algorithms ResearchAdvanced Clustering Algorithms Research
Cited by 13
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A Novel Graph-Based Program Representation for Java Code Plagiarism Detection
Cheers, H., & Lin, Y. (2020) · Proceedings of the 3rd International Conference on Software Engineering and Information Management
Software Engineering ResearchAcademic integrity and plagiarism
Cited by 13
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Attention Based Context Boosted Cyberbullying Detection in Social Media
Rezvani, N., & Beheshti, A. (2021) · journal of Data Intelligence
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 13
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Collection and curation of a large reference dataset for activity recognition
Calatroni, A., Roggen, D., & Troster, G. (2011) · 2011 IEEE International Conference on Systems, Man, and Cybernetics
Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing
Cited by 13
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A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
Jiang, L., Ryan, R., Li, Q., & Ferdosian, N. (2025) · arXiv
Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications
Cited by 13
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Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Kang, M., Kwak, J. M., Baek, J., & Hwang, S. J. (2023) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 13
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The Role of Working Memory in Program Tracing
Crichton, W., Agrawala, M., & Hanrahan, P. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Software Engineering ResearchTeaching and Learning Programming
Cited by 13
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Design of Generalized Pipeline Cellular Array in Quantum-Dot Cellular Automata
Almatrood, A. F., & Singh, H. (2018) · IEEE Computer Architecture Letters
Quantum-Dot Cellular AutomataCellular Automata and Applications
Cited by 13
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ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Hu, C., Fu, J., Du, C., Luo, S., Zhao, J., & Zhao, H. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 13
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Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Hu, S., & Clune, J. (2023) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 13
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“A study of educational data mining: evidence from a Thai university,”
Trakunphutthirak, R., Cheung, Y., & Lee, V. C. S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Online Learning and AnalyticsEducational Outcomes and Influences
Cited by 13
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The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use
Hu, S., Ouyang, M., Gao, D., & Shou, M. Z. (2024) · arXiv
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 13
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A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments
Islam, S., Chiu, M.-H., Bonjour, T., de Oliveira, R., Bhargava, B., & Kejriwal, M. (2025) · IEEE Intelligent Systems
Reinforcement Learning in RoboticsAdversarial Robustness in Machine Learning
Cited by 13
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Phonespoof: A New Dataset for Spoofing Attack Detection in Telephone Channel
Lavrentyeva, G., Novoselov, S., Volkova, M., Matveev, Y., & De Marsico, M. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 13
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Effectiveness of Feedback Based on Log File Analysis in Introductory Programming Courses
Meier, H., & Lepp, M. (2023) · Journal of Educational Computing Research
Teaching and Learning ProgrammingOnline Learning and Analytics
Cited by 13
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The Pitfalls of Defining Hallucination
Deemter, K. V. (2024) · Computational Linguistics
Natural Language Processing TechniquesTopic Modeling
Cited by 13
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Adversarial collision attacks on image hashing functions
Dolhansky, B., & Ferrer, C. C. (2020) · arXiv
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 13
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Quantum circuits for the realization of equivalent forms of one-dimensional discrete-time quantum walks on near-term quantum hardware
Singh, S., Alderete, C. H., Balu, R., Monroe, C., Linke, N. M., & Chandrashekar, C. M. (2021) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 13
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Weakly- and Semi-supervised Evidence Extraction
Pruthi, D., Dhingra, B., Neubig, G., & Lipton, Z. C. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 13
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Sharing Practices for Datasets Related to Accessibility and Aging
Kamikubo, R., Dwivedi, U., & Kacorri, H. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
Research Data Management PracticesEthics and Social Impacts of AI
Cited by 13
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CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection
Osakabe, T., Tanaka, M., Kinoshita, Y., & Kiya, H. (2021) · International Workshop on Advanced Imaging Technology (IWAIT) 2021
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 13
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