Most cited computer science papers
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DCDN: estimating handover parameter adjusting effect with causal inference
Zhang, Y., Li, Q., Hua, X., Yu, R., Zhang, Z., Fan, X., Zhu, L., Sha, T., & Zhang, Y. (2023) · 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Software-Defined Networks and 5GAdvanced Data and IoT Technologies
Cited by 1
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Learning to Defer to a Population: A Meta-Learning Approach
Tailor, D., Patra, A., Verma, R., Manggala, P., & Nalisnick, E. (2024) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 1
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A high-throughput AES-GCM implementation on GPUs for secure, policy-based access to massive astronomical catalogs
Lemes-Perera, S., R. Alarcon, M., Caballero-Gil, P., & Serra-Ricart, M. (2026) · Astronomy and Computing
Cryptographic Implementations and SecurityCryptography and Data Security
Cited by 1
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LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
Solomon, R., Yerushalmi Levi, Y., Waknin, L., Aizikovich, E., Baras, A., Ohana, E., Giloni, A., Bose, S., Picardi, C., Elovici, Y., et al. (2026) · Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems
Software System Performance and ReliabilityMulti-Agent Systems and Negotiation
Cited by 1
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Sensitivity of Linear Systems; Effects of Roundoff Errors
Watkins, D. S. (2002) · Fundamentals of Matrix Computations
Matrix Theory and AlgorithmsNumerical Methods and Algorithms
Cited by 1
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The Role of Exploration for Task Transfer in Reinforcement Learning
Balloch, J. C., Kim, J., Inman, A. J. L., & Riedl, M. O. (2022) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 1
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GenSim: A General Social Simulation Platform with Large Language Model based Agents
Tang, J., Gao, H., Pan, X., Wang, L., Tan, H., Gao, D., Chen, Y., Chen, X., Lin, Y., Li, Y., et al. (2024) · arXiv
Multi-Agent Systems and NegotiationSimulation Techniques and Applications
Cited by 1
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Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
Chua, J., Betley, J., Taylor, M., & Evans, O. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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PrologMCP: A Standardized Prolog Tool Interface for LLM Agents
Mensfelt, A., Prabhakaran, A., Haret, A., Trencsenyi, V., & Stathis, K. (2026) · arXiv
Logic, Reasoning, and KnowledgeNatural Language Processing Techniques
Cited by 1
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ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
Liu, Z., Cai, Y., Zhu, X., Zheng, Y., Chen, R., Wen, Y., Wang, Y., E, W., & Chen, S. (2025) · arXiv
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 1
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Detection of cyber-attacks on Wi-Fi networks by classification of spectral data
Villain, J., Deniau, V., Fleury, A., Gransart, C., & Simon, E. P. (2020) · 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science
Network Security and Intrusion DetectionWireless Signal Modulation Classification
Cited by 1
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Integrating AI Virtual Tutors in Blended Learning: A Controlled Evaluation of Learning Outcomes and Student Engagement
Li, Y., & Bao, Z. (2025) · Proceedings of the 2025 2nd International Conference on Artificial Intelligence and Future Education
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 1
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Reinforcement World Model Learning for LLM-based Agents
Yu, X., Peng, B., Xu, R., Shen, Y., He, P., Nath, S., Singh, N., Gao, J., & Yu, Z. (2026) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 1
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Comparison of cultural preferences and cultural practices in website design in Pakistan
Nizamani, S., Nizamani, S., Basir, N., Khoumbati, K., Nizamani, S., & Memon, S. (2025) · Universal Access in the Information Society
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 1
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Multiversal views on language models
Reynolds, L., & McDonell, K. (2021) · arXiv
Artificial Intelligence in GamesLiterary and Philosophical Studies
Cited by 1
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CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
Wei, B., Tay, Y. S., Liu, H., Pan, J., Luo, K., Zhu, Z., & Jordan, C. (2025) · arXiv
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 1
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PureEdge AI-Driven Scheduling for Failover Management in Edge Computing Systems
Dong-Seong, K., & Syamsul, R. (2025) · 2025 International Conference on Mobile, Military, Maritime IT Convergence (ICMIC)
IoT and Edge/Fog ComputingEnergy Efficiency in Computing
Cited by 1
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EvoX: Meta-Evolution for Automated Discovery
Liu, S., Agarwal, S., Maheswaran, M., Cemri, M., Li, Z., Mang, Q., Naren, A., Boneh, E., Cheng, A., Pan, M. Z., et al. (2026) · arXiv
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research
Cited by 1
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PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering
Meem, J. A., Rashid, M. S., Dong, Y., & Hristidis, V. (2024) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 1
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ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory
Xiao, Y., Li, Y., Wang, H., Tang, Y., & Wang, Z. Z. (2025) · arXiv
Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning
Cited by 1
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Provocation: Who benefits from "inclusion" in Generative AI?
Dalal, S., Hall, S. M., & Johnson, N. (2024) · arXiv
Ethics and Social Impacts of AILaw, AI, and Intellectual Property
Cited by 1
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RD-PHash: A Robustness Enhancement for DCT-Based Perceptual Hashing Against Adversarial Bit-Flipping Attacks
Jiang, N., Sun, B., Kim, N., Sim, T., & Han, J. (2026) · 2026 IEEE Symposium on Security and Privacy Workshops (SPW)
Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption
Cited by 0
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FlowReasoner: Reinforcing Query-Level Meta-Agents
Gao, H., Liu, Y., He, Y., Dou, L., Du, C., Deng, Z., Hooi, B., Lin, M., & Pang, T. (2025) · arXiv
Software Engineering ResearchAI-based Problem Solving and Planning
Cited by 0
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CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
Fu, Y., Kang, Y., & Zhao, Y. (2026) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 0
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