Most cited computer science papers
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MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
Han, S., Xia, P., Zhang, R., Sun, T., Li, Y., Zhu, H., & Yao, H. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 4
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Reflexões sobre o Uso de LLMs no Ensino de Programação
Rosa, Y. S., Garcia, P., Constantino, K., & Figueiredo, E. (2025) · Anais do V Simpósio Brasileiro de Educação em Computação (EDUCOMP 2025)
Teaching and Learning ProgrammingSoftware Engineering Research
Cited by 4
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Clinical Features and Physiological Signals Fusion Network for Mechanical Circulatory Support Need Prediction in Pediatric Cardiac Intensive Care Unit
Mendoza, A., Tume, S., Puri, K., Acosta, S., & Cavallaro, J. R. (2025) · IEEE Journal of Biomedical and Health Informatics
Machine Learning in HealthcareMechanical Circulatory Support Devices
Cited by 4
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Transformers Represent Belief State Geometry in their Residual Stream
Shai, A., Marzen, S., Teixeira, L., Oldenziel, A., & Riechers, P. (2024) · Advances in Neural Information Processing Systems 37
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 4
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Debugging inequities: Data use, “gumshoe work,” and problem identification in district-wide computer science education initiatives
Phelps, D., & Santo, R. (2022) · Policy Futures in Education
Teaching and Learning ProgrammingEducational Assessment and Improvement
Cited by 4
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When design deceives: consumer reactions to dark patterns in quick commerce
Agrawal, S., & Narayanan, S. (2026) · Journal of Indian Business Research
Innovative Human-Technology InteractionDigital Marketing and Social Media
Cited by 4
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Automatic identification of head movements in video-recorded conversations: can words help?
Paggio, P., Navarretta, C., & Jongejan, B. (2017) · Proceedings of the Sixth Workshop on Vision and Language
Hand Gesture Recognition SystemsGaze Tracking and Assistive Technology
Cited by 4
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LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback
Zhao, C. Q., Cao, J., Lin, J., & Koedinger, K. R. (2026) · arXiv
Intelligent Tutoring Systems and Adaptive LearningStudent Assessment and Feedback
Cited by 4
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Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments
Jeong, J., & Lee, S.-G. (2025) · IEEE Access
Access Control and TrustTopic Modeling
Cited by 4
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Self-alignment of large language models via monopolylogue-based social scene simulation
Pang, X., Tang, S., Ye, R., Xiong, Y., Zhang, B., Wang, Y., & Chen, S. (2024) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 4
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Visual Conceptual Blending with Large-scale Language and Vision Models
Ge, S., & Parikh, D. (2021) · arXiv
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 4
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Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Mecklenburg, N., Lin, Y., Li, X., Holstein, D., Nunes, L., Malvar, S., Silva, B., Chandra, R., Aski, V., Yannam, P. K. R., et al. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 4
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VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
Qian, H., Fan, Y., Guo, J., Zhang, R., Chen, Q., Yin, D., & Cheng, X. (2025) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 4
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Research on the Improvement of the Signal Time Delay Estimation Method of Acoustic Positioning for Anti-Low Altitude UAVs
Liu, M., Yu, J., & Yang, Z. (2025) · Sensors
Direction-of-Arrival Estimation TechniquesSpeech and Audio Processing
Cited by 4
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AgentInstruct: Toward Generative Teaching with Agentic Flows
Mitra, A., Del Corro, L., Zheng, G., Mahajan, S., Rouhana, D., Codas, A., Lu, Y., Chen, W.-G., Vrousgos, O., Rosset, C., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4
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What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
Zhang, Y., Zhang, F., Yang, Z., & Wang, Z. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 4
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Data and AI governance: Promoting equity, ethics, and fairness in large language models
Abishek, A., Erickson, L., & Bandopadhyay, T. (2025) · MIT Science Policy Review
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 4
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Cheng, C.-A., Nie, A., & Swaminathan, A. (2024) · Advances in Neural Information Processing Systems 37
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 4
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Improving Code Localization with Repository Memory
Wang, B., Xu, W., Li, Y., Gao, M., Xie, Y., Sun, H., & Chen, D. (2025) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 4
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Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
Orvalho, P., Janota, M., & Manquinho, V. (2025) · arXiv
Software Testing and Debugging TechniquesTeaching and Learning Programming
Cited by 4
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Input splitting for cloud-based static application security testing platforms
Christakis, M., Cottenier, T., Filieri, A., Luo, L., Mansur, M. N., Pike, L., Rosner, N., Schäf, M., Sengupta, A., & Visser, W. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Testing and Debugging TechniquesWeb Application Security Vulnerabilities
Cited by 4
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BeatNet: CRNN and Particle Filtering for Online Joint Beat, Downbeat and Meter Tracking
Heydari, M., Cwitkowitz, F., & Duan, Z. (2021) · arXiv
Music and Audio ProcessingMusic Technology and Sound Studies
Cited by 4
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The Internet of Things Security Issues and Countermeasures in Network Layer: A Systematic Literature Review
Hussain, B., Elmedany, W., & Sharif, M. S. (2022) · 2022 International Conference on Data Analytics for Business and Industry (ICDABI)
Network Security and Intrusion DetectionIoT and Edge/Fog Computing
Cited by 4
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Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
Xu, B., Liu, X., Shen, H., Han, Z., Li, Y., Yue, M., Peng, Z., Liu, Y., Yao, Z., & Xu, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Topic ModelingNatural Language Processing Techniques
Cited by 4
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