Most cited computer science papers
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Adaptive accountability in networked multi-agent systems
Alqithami, S. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation
Cited by 3
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ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
Shinwari, H. U. K., & Usama, M. (2025) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 3
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One Step Diffusion via Shortcut Models
Frans, K., Hafner, D., Levine, S., & Abbeel, P. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods
Cited by 3
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Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
He, Z., Zhou, B., Hao, H., Liu, A., Wang, X., Tu, Z., Zhang, Z., & Wang, R. (2024) · arXiv
Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning
Cited by 3
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Use of large language models to extract cancer diagnosis, histology, grade, and staging from unstructured electronic health records.
Namasivayam, G., Su, Z., Bhat, A., Haydon, W., Robert, N. J., & Espirito, J. L. (2025) · Journal of Clinical Oncology
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 3
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Evaluation of nonrigid registration around the hippocampus for the construction of statistical maps in a multicenter dataset of epilepsy laser ablation patients
Chakravorti, S., Jermakowicz, W. J., Wu, C., Li, R., Wirz Gonzalez, R., Dawant, B. M., & D'Haese, P.-F. (2019) · Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Medical Image Segmentation TechniquesEpilepsy research and treatment
Cited by 3
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Time delay estimation of furnace tube leakage acoustic signal based on generalized cross correlation
Wang, C., Liu, H., & Wang, Q. (2023) · 2023 42nd Chinese Control Conference (CCC)
Speech and Audio ProcessingAdvanced Adaptive Filtering Techniques
Cited by 3
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At Equal Inference Cost, Multi-Agent Structure Does Not Beat a Single Frozen Agent
Dylan, D., Brennan, A., Murphy, C., O'Sullivan, N., Kelly, C., & Walsh, S. (2026) · arXiv
AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications
Cited by 3
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A Pilot Study of Virtual Reality in Hemodialysis for Mitigating Pain and Anxiety: User Experiences and Perceptions
Rodríguez de Galvis, S., Guerrero Rodríguez, E., Audije-Gil, J., Hernández, S., Argilés-Huguet, M., Botella, A., Burgos Villulas, M., Casaux-Huertas, A., González Sánchez, I., Marín López, M. T., et al. (2025) · Patient Preference and Adherence
Virtual Reality Applications and ImpactsPediatric Pain Management Techniques
Cited by 3
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Improving Language Plasticity via Pretraining with Active Forgetting
Chen, Y., Marchisio, K., Raileanu, R., Adelani, D., Stenetorp, P. L. E. S., Riedel, S., & Artetxe, M. (2023) · Advances in Neural Information Processing Systems 36
Domain Adaptation and Few-Shot LearningNatural Language Processing Techniques
Cited by 3
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Crafting Disability Fairness Learning in Data Science: A Student-Centric Pedagogical Approach
Newman, P., Opdahl, T., Liu, Y., Wehrwein, S., & Elglaly, Y. N. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1
Ethics and Social Impacts of AITeaching and Learning Programming
Cited by 3
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MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
Luo, Z., Shen, Z., Yang, W., Zhao, Z., Jwalapuram, P., Saha, A., Sahoo, D., Savarese, S., Xiong, C., & Li, J. (2025) · arXiv
Topic ModelingArtificial Intelligence Applications
Cited by 3
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Conformal Performance Range Prediction for Segmentation Output Quality Control
Wundram, A. M., Fischer, P., Muehlebach, M., Koch, L. M., & Baumgartner, C. F. (2024) · arXiv
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 3
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ChatGPT as speechwriter for the French presidents
Labbé, D., Labbé, C., & Savoy, J. (2025) · Digital Scholarship in the Humanities
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 3
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Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
Carrera, D., Thomas-Mitchell, J., & Wigdor, D. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 3
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TaleCrafter: Interactive Story Visualization with Multiple Characters
Gong, Y., Pang, Y., Cun, X., Xia, M., He, Y., Chen, H., Wang, L., Zhang, Y., Wang, X., Shan, Y., et al. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art
Cited by 3
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Falcon Mamba: The First Competitive Attention-free 7B Language Model
Zuo, J., Velikanov, M., Rhaiem, D. E., Chahed, I., Belkada, Y., Kunsch, G., & Hacid, H. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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ToolRL: Reward is All Tool Learning Needs
Qian, C., Acikgoz, E. C., He, Q., Wang, H., Chen, X., Hakkani-Tür, D., Tur, G., & Ji, H. (2025) · arXiv
Reinforcement Learning in RoboticsTopic Modeling
Cited by 3
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Proactive ransomware prevention in pervasive IoMT via hybrid machine learning
Tariq, U., & Tariq, B. (2024) · Indonesian Journal of Electrical Engineering and Computer Science
Advanced Malware Detection TechniquesNetwork Security and Intrusion Detection
Cited by 3
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Rooted in the Collective: A Culturally Situated Artificial Intelligence (AI) Education Workshop For Urban Farmers
Moudgalya, S. K., Palileo, C., Patil, S., Linder, R., & Swaminathan, S. (2025) · Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1
Ethics and Social Impacts of AIICT in Developing Communities
Cited by 3
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Reliable Reasoning Beyond Natural Language
Borazjanizadeh, N., & Piantadosi, S. T. (2024) · arXiv
Logic, Reasoning, and KnowledgeTopic Modeling
Cited by 3
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Intelligence plays dice: Stochasticity is essential for machine learning
Sabuncu, M. R. (2020) · arXiv
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 3
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Melting Pot 2.0
Agapiou, J. P., Vezhnevets, A. S., Duéñez-Guzmán, E. A., Matyas, J., Mao, Y., Sunehag, P., Köster, R., Madhushani, U., Kopparapu, K., Comanescu, R., et al. (2022) · arXiv
Multi-Agent Systems and NegotiationReinforcement Learning in Robotics
Cited by 3
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R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
Johnson, D. D., Tarlow, D., & Walder, C. (2023) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 3
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