Most cited computer science papers
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ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
Levy, I., Wiesel, B., Marreed, S., Oved, A., Yaeli, A., Mashkif, N., & Shlomov, S. (2024) · arXiv
Web Data Mining and AnalysisAccess Control and Trust
Cited by 1
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OminiControl2: Efficient Conditioning for Diffusion Transformers
Tan, Z., Xue, Q., Yang, X., Liu, S., & Wang, X. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 1
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Examining the Generalizability of English Cyberbullying Detection Models on Malay Informal Text Using Direct Translation
Chew, S. X., Liew, J. S. Y., Wan Ibrisam Fikry, W. A. L., & Ibrahim, N. F. (2022) · International Journal of Asian Language Processing
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 1
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Video Camera and Sensor Status Monitoring System in IoT Environments
Besednyi, N., Harkovchuk, A., & Korzun, D. (2022) · Zenodo
Context-Aware Activity Recognition SystemsSmart Agriculture and AI
Cited by 1
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EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
Liao, Z., Mo, L., Xu, C., Kang, M., Zhang, J., Xiao, C., Tian, Y., Li, B., & Sun, H. (2024) · arXiv
Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning
Cited by 1
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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Wang, Y., Zhang, Y., Huo, M., Tian, R., Zhang, X., Xie, Y., Xu, C., Ji, P., Zhan, W., Ding, M., et al. (2024) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 1
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RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Dugan, L., Hwang, A., Trhlik, F., Ludan, J. M., Zhu, A., Xu, H., Ippolito, D., & Callison-Burch, C. (2024) · arXiv
Authorship Attribution and ProfilingAdversarial Robustness in Machine Learning
Cited by 1
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Stabilizing Unsupervised Environment Design with a Learned Adversary
Mediratta, I., Jiang, M., Parker-Holder, J., Dennis, M., Vinitsky, E., & Rocktäschel, T. (2023) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 1
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Wei, T., Sachdeva, N., Coleman, B., He, Z., Bei, Y., Ning, X., Ai, M., Li, Y., He, J., Chi, E. H., et al. (2025) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 1
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Illusions of reflection: open-ended task reveals systematic failures in Large Language Models' reflective reasoning
Weatherhead, S., Salim, F., & Belbasis, A. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Alchemy: dynamic gesture hinting for mobile devices
Lundgren, S., & Hjulström, M. (2011) · Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
Interactive and Immersive DisplaysUsability and User Interface Design
Cited by 1
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Secure Pipelines, Smarter AI: LLM-Powered Data Engineering for Threat Detection and Compliance
Bollikonda, M., & Bollikonda, T. (2025) · Preprints.org
Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning
Cited by 1
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Towards a Feasible Evaluation Function for Search-Based Merge Conflict Resolution
de Souza Campos, H., de Menezes, G. G. L., de Oliveira Barros, M., van der Hoek, A., & Gresta Paulino Murta, L. (2026) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
- Verified · note
Autonomous Mission Planning for Multi-Agile Earth Observation Satellites Using Whale Optimization Algorithm
Gao, X., Zhang, H., Yu, T., Ma, G., & Gao, D. (2020) · 2020 Chinese Automation Congress (CAC)
Metaheuristic Optimization Algorithms ResearchSatellite Communication Systems
Cited by 1
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Um estudo exploratório sobre o uso de LLMs como recurso para o aprendizado de fundamentos de programação
Portela, A. K. E., & Vieira, J. K. M. (2025) · Anais do XXXIII Workshop sobre Educação em Computação (WEI 2025)
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 1
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A Self-Supervised Framework for Laboratory Data Imputation in Electronic Health Records
Heilbroner, S. P., Carter, C., Vidmar, D. M., Mueller, E. T., Stumpe, M. C., & Miotto, R. (2025) · Communications Medicine
Machine Learning in HealthcareElectronic Health Records Systems
Cited by 1
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Mind the (Belief) Gap: Group Identity in the World of LLMs
Borah, A., Houalla, M., & Mihalcea, R. (2025) · arXiv
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 1
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The Power of Docker: Containerization for Efficient Software Development and Deployment
Islavath, N. (2020) · International Journal of Science and Research (IJSR)
Cloud Computing and Resource ManagementSoftware Engineering Techniques and Practices
Cited by 1
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Optimizing System Management: Innovative Approaches to Shell Scripting for Automation in Large-Scale Systems
Ranjan, M. K., Saxena, S., Gupta, R., Singh, A., Anarthe, A. S., & Anand, A. (2024) · Journal of Advances in Shell Programming
Software System Performance and ReliabilityEngineering and Information Technology
Cited by 1
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Reinforcement Learning to Rank Using Coarse-grained Rewards
Tu, Y., Xu, Z., Yang, T., Su, W., Zhou, Y., Liu, Y., Lin, F., Liu, Q., & Ai, Q. (2022) · arXiv
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 1
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Are Human-generated Demonstrations Necessary for In-context Learning?
Li, R., Wang, G., & Li, J. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1
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Composer 2 Technical Report
Research, C., :, Chan, A., Shalaby, A., Wettig, A., Sanger, A., Zhai, A., Ajay, A., Nair, A., Snell, C., et al. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
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Automatically Adaptive Conformal Risk Control
Blot, V., Angelopoulos, A. N., Jordan, M. I., & Brunel, N. J.-B. (2024) · arXiv
Machine Learning and AlgorithmsAdversarial Robustness in Machine Learning
Cited by 1
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My Teammate is an AI: Evaluating Generative AI in Game Asset Creation through a Post-GameJam Study
Bezzina, S., & Dingli, A. (2025) · DiGRA Digital Library
Artificial Intelligence in GamesDigital Games and Media
Cited by 1
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