Most cited computer science papers
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Position: Privacy Is Not Just Memorization!
Mireshghallah, N., & Li, T. (2025) · arXiv
Privacy-Preserving Technologies in DataEthics and Social Impacts of AI
Cited by 0
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Can Language Models Serve as Text-Based World Simulators?
Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · arXiv
Artificial Intelligence in GamesAI-based Problem Solving and Planning
Cited by 0
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AI and Education: A New Era of Learning
Solanki, R., & Kumar, D. R. (2026) · International Journal for Research Publication and Seminar
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
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SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
Desai, R., Hu, J., Cabezas, J., Harsola, N., Shukla, P., Chaim, R. B., Assadi, A. E., Kamath, O. M., Faldu, F., Hebbar, P., et al. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
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Certified randomness amplification by dynamically probing remote random quantum states
Liu, M., Niroula, P., DeCross, M., Foreman, C., Kon, W. Y., Primaatmaja, I. W., Allman, M. S., Campora, J. P., Isanaka, A., Singhal, K., et al. (2025) · arXiv
Quantum Information and CryptographyQuantum Computing Algorithms and Architecture
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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
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An Analysis of Dialogue Repair in Voice Assistants
Galbraith, M. (2023) · arXiv
Speech and dialogue systemsLanguage, Discourse, Communication Strategies
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Why Self-Rewarding Works: Theoretical Guarantees for Iterative Alignment of Language Models
Fu, S., Wang, Y., Hu, S., Wang, P., & Tao, D. (2026) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
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ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support
Chen, T., Lu, J., Shen, Y., & Zhang, L. (2026) · Proceedings of the ACM Web Conference 2026
Speech and dialogue systemsAI in Service Interactions
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Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study
Khan, S. (2026) · arXiv
Software System Performance and ReliabilityLogic, programming, and type systems
Cited by 0
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MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
Jiang, M., Gao, J., Zhan, J., & Wang, D. (2025) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
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GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation
Chen, Y.-C., & Jhala, A. (2025) · arXiv
Artificial Intelligence in GamesGenerative Adversarial Networks and Image Synthesis
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Learning What to Remember: Test-Time Training via Context Distillation
Wang, Z., Dang, X., Zhu, R.-J., Wen, Z., Fu, H., Chai, W., & Lee, J. D. (2026) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 0
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Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
Davies, X., Winsor, E., Souly, A., Korbak, T., Kirk, R., de Witt, C. S., & Gal, Y. (2025) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
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Creating a Virtual Machine
Portnoy, M. (2023) · Virtualization Essentials, 3rd Edition
Cloud Computing and Resource ManagementCloud Computing and Remote Desktop Technologies
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Adaptive Reflection Loops for Large Language Models Reducing Hallucinations and Enhancing Robust Reasoning
Hossen, M. S., Jahan, T., Barua, A., & Opel, M. Z. K. (2025) · 2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON)
Topic ModelingNatural Language Processing Techniques
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FlashBias: Fast Computation of Attention with Bias
Wu, H., Guo, M., Ma, Y., Sun, Y., Wang, J., Matusik, W., & Long, M. (2025) · arXiv
Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications
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Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering
Ellinger, L., Fichtl, A., Anschütz, M., & Groh, G. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
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Enhancing Code Generation Using Instruction-Tuned Transformer Models for Multi-Language Software Development
Sathiyavathi, A., Gowri, C. G., Sundar, R., Theo, J. A., Poornimadevi, L., & S, S. B. (2026) · 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Software Engineering ResearchTopic Modeling
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Entropy-Reservoir Bregman Projection: An Information-Geometric Unification of Model Collapse
Chen, J. (2025) · arXiv
Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms
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DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving
Deng, C., Zhang, S., Fan, J., & Du, X. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
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Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
Zhong, Q., Ding, L., Liu, J., Du, B., Rutkowski, L., & Tao, D. (2026) · arXiv
Topic ModelingLogic, Reasoning, and Knowledge
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Cybersecurity Risk Frameworks for Mission Critical Process Automation: From IT/OT Convergence to Zero-Trust Architectures
Shaikh, M. H. (2026) · International Journal of Engineering and Advanced Technology
Information and Cyber SecuritySmart Grid Security and Resilience
Cited by 0
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Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
Xu, H. (2026) · arXiv
Multi-Agent Systems and NegotiationAccess Control and Trust
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