Most cited computer science papers
- Verified
Artificial Infringement
Goodyear, M. (2025) · SSRN Electronic Journal
Law, AI, and Intellectual PropertyIntellectual Property Law
Cited by 2
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Delving into: the quantification of Ai-generated content on the internet (synthetic data)
Spennemann, D. H. (2025) · arXiv
Authorship Attribution and ProfilingMisinformation and Its Impacts
Cited by 2
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Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Scientific Citations
Tilwani, D., Saxena, Y., Mohammadi, S., Padia, A., Raff, E., Sheth, A., Parthasarathy, S., & Gaur, M. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 2
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Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
Kim, Y., Son, K., Kim, S., & Kim, J. (2024) · arXiv
Speech and dialogue systemsLanguage, Discourse, Communication Strategies
Cited by 2
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Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
Fan, Y., Ma, X., Su, R., Guo, J., Wu, R., Chen, X., & Li, Q. (2025) · arXiv
Robotics and Sensor-Based LocalizationRobot Manipulation and Learning
Cited by 2
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Enhancing Cyber-Physical System Security with CGAN in Fog Environment
Pathak, P., Singh, D., Saxena, A., Kumar, K., Singh Dari, S., & Dhabliya, D. (2023) · 2023 International Conference on Data Science and Network Security (ICDSNS)
Network Security and Intrusion DetectionIoT and Edge/Fog Computing
Cited by 2
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A Scalable Communication Protocol for Networks of Large Language Models
Marro, S., La Malfa, E., Wright, J., Li, G., Shadbolt, N., Wooldridge, M., & Torr, P. (2024) · arXiv
Multi-Agent Systems and NegotiationArtificial Intelligence Applications
Cited by 2
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LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Zhao, J., Zu, C., Xu, H., Lu, Y., He, W., Ding, Y., Gui, T., Zhang, Q., & Huang, X. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy
Feng, Z., Chen, Z., Ma, J., Po, Y. T., Chersoni, E., & Li, B. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Ethics and Social Impacts of AITopic Modeling
Cited by 2
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Fusion or defusion? Flexible vision-and-language pre-training
Sun, R., Li, Z., Ding, Y., Wang, Q., Wang, J., Zheng, H., Wu, W., & Xian, Y. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2
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OmniRouter: Budget and Performance Controllable Multi-LLM Routing
Mei, K., Xu, W., Guo, M., Lin, S., & Zhang, Y. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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The impact of virtual reality cognitive behavioral therapy on mental disorders among children and youth: a systematic review and meta-analysis
Li, M., Patel, J., Ibrahim, S., & Katapally, T. R. (2025) · medRxiv
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 2
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Premagic and Ideal Flow Matrices
Teknomo, K. (2017) · arXiv
Matrix Theory and AlgorithmsGraph theory and applications
Cited by 2
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Specifications: The missing link to making the development of LLM systems an engineering discipline
Stoica, I., Zaharia, M., Gonzalez, J., Goldberg, K., Sen, K., Zhang, H., Angelopoulos, A., Patil, S. G., Chen, L., Chiang, W.-L., et al. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 2
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Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots
Zuccotto, M., Piccinelli, M., Castellini, A., Marchesini, E., & Farinelli, A. (2022) · Frontiers in Robotics and AI
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 2
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TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation
Goldshmidt, R., & Horovicz, M. (2024) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 2
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Agentic Much? Adoption of Coding Agents on GitHub
Robbes, R., Matricon, T., Degueule, T., Hora, A., & Zacchiroli, S. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 2
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D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
Nguyen-Le, H.-H., Tran, V.-T., Nguyen, D.-T., & Le-Khac, N.-A. (2024) · 2024 International Joint Conference on Neural Networks (IJCNN)
Adversarial Robustness in Machine LearningSpeech Recognition and Synthesis
Cited by 2
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KGGCN: A Unified Knowledge Graph-Enhanced Graph Convolutional Network Framework for Chinese Named Entity Recognition
Chen, X., He, L., Hu, W., & Yi, S. (2025) · AI
Topic ModelingAdvanced Graph Neural Networks
Cited by 2
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Language-Based Augmentation to Address Shortcut Learning in Object-Goal Navigation
Hoftijzer, D., Burghouts, G., & Spreeuwers, L. (2023) · 2023 Seventh IEEE International Conference on Robotic Computing (IRC)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 2
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If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
Fan, S., Huang, X., Yao, Y., Fang, X., Liu, K., Han, P., Shang, S., Sun, A., & Wang, Y. (2025) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 2
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Correction: AI-powered learning analytics for metacognitive and socioemotional development: a systematic review
Pacheco, A. J., Boude Figueredo, O. R., Chiappe, A., & Fontán de Bedout, L. (2025) · Frontiers in Education
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 2
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Confusing the Map for the Territory
Qadri, R., Madaio, M., & Gray, M. L. (2025) · Communications of the ACM
Ethics and Social Impacts of AIAI and HR Technologies
Cited by 2
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Proactive Fault Tolerant Service Management in Edge Computing
Tambe, S. D., & A., A. F. (2023) · 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 2
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