Most cited computer science papers
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Beyond Access: Socioeconomic, Academic and Disciplinary Determinants of Generative AI Use in Higher Education
Zafar, S., Shaheen, F., & Khan, S. A. (2026) · Journal of Political Stability Archive
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
Cited by 0
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Aligning Provenance with Authorization: A Dual-Graph Defense for LLM Agents
Wang, P., Li, Y., & Tian, Y. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
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Integrating Generative AI Into Academic Writing Classrooms: Practical Pedagogical Issues
Talandis, Jr., & Muller, T. (2025) · JALT Postconference Publication
Artificial Intelligence in EducationEFL/ESL Teaching and Learning
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Deepfake-Enabled Infiltration: The Threat of Synthetic Identities in Corporate Environments
Lozada, J. (2026) · Journal of The Colloquium for Information Systems Security Education
Information and Cyber SecurityDigital Media Forensic Detection
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MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
von Oswald, J., Scherrer, N., Kobayashi, S., Versari, L., Yang, S., Mittal, S., Schlegel, M., Maile, K., Schimpf, Y., Sieberling, O., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
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Self-Supervised Learning Framework for Automated Material Grouping of Demolition Waste: Advancing Sustainable Waste Management
Alshami, A., & Choi, J. (2025) · CIB Conferences
Advanced Neural Network ApplicationsRecycled Aggregate Concrete Performance
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LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards
Chen, G., Shieh, M. Q., & Bing, L. (2026) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
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MulliVC: Multi-lingual Voice Conversion With Cycle Consistency
Huang, J., Zhang, C., Ren, Y., Jiang, Z., Ye, Z., Liu, J., He, J., Yin, X., & Zhao, Z. (2024) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
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HiEviDR-Bench: A Benchmark for Hierarchical Evidence Aggregation in Deep Research
Sun, Y., Peng, C., Yan, Y., Liu, Z., Mei, S., Xu, B., Zhou, X., Chen, C., & Sun, M. (2026) · arXiv
Topic ModelingMultimodal Machine Learning Applications
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Research on sensor dirt recognition of autonomous vehicle camera based on deep learning
Wu, Z., Wang, Y., Ran, L., Hu, Z., Liu, Z., Ding, X., Chen, Z., Shi, Y., & Gao, Z. (2024) · Second International Conference on Informatics, Networking, and Computing (ICINC 2023)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
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REMI: A Novel Causal Schema Memory Architecture for Personalized Lifestyle Recommendation Agents
Raman, V., R, V. A., & Ragav, A. (2025) · arXiv
AI-based Problem Solving and PlanningRecommender Systems and Techniques
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CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
Foerster, H., Blanchard, T., Nikolić, K., Shumailov, I., Zhang, C., Mullins, R., Papernot, N., Tramèr, F., & Zhao, Y. (2026) · arXiv
Security and Verification in ComputingAdversarial Robustness in Machine Learning
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PAACE: A Plan-Aware Automated Agent Context Engineering Framework
Yuksel, K. A. (2025) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 0
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On the Difficulty of Selecting Few-Shot Examples for Effective LLM-based Vulnerability Detection
Hannan, M. A., Ni, R., Zhang, C., Jia, L., Mangal, R., & Pasareanu, C. S. (2026) · Proceedings 2026 Workshop on LLM Assisted Security and Trust Exploration
Software Engineering ResearchSoftware Testing and Debugging Techniques
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Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments
Disha, J. F., Dehan, M. F. Z., & Anzum, K. M. T. (2026) · Advanced Intelligent Systems
Explainable Artificial Intelligence (XAI)Machine Learning in Healthcare
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Efficient Reasoning with Hidden Thinking
Shen, X., Wang, Y., Zhou, Y., Shi, X., Zhao, P., Wang, Y., & Gu, J. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
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Code2World: A GUI World Model via Renderable Code Generation
Zheng, Y., Zhong, L., Wang, Y., Dai, R., Liu, K., Chu, X., Lv, L., Torr, P., & Lin, K. Q. (2026) · arXiv
Multimodal Machine Learning ApplicationsSoftware Engineering Research
Cited by 0
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Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
Huang, W.-C., Zou, H. P., Wu, Y., Li, D., Chen, Y., Zhang, W., Li, Y., Zangari, A., Guo, J., Miao, C., et al. (2025) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
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Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks
Lumer, E., Nizar, F., Jangiti, A., Frank, K., Gulati, A., Phadate, M., & Subbiah, V. K. (2026) · arXiv
Natural Language Processing TechniquesTopic Modeling
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Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Huang, C.-Y., Hsu, T.-Y., Rossi, R., Nenkova, A., Kim, S., Chan, G. Y.-Y., Koh, E., Giles, C. L., & Huang, T.-H. '. (2023) · arXiv
Advanced Text Analysis TechniquesTopic Modeling
Cited by 0
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AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy
Elharrouss, O., Mahmood, Y., Naouss, M., & Badidi, E. (2026) · Education Sciences
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
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DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis
Patel, L., Arabzadeh, N., Gupta, H., Sundar, A., Stoica, I., Zaharia, M., & Guestrin, C. (2025) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
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Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
Pulipaka, S., Hlebik, S., Raghav, L., Abdelnabi, S., Raina, V., Sheth, I., & Fritz, M. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
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LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Maes, L., Lidec, Q. L., Scieur, D., LeCun, Y., & Balestriero, R. (2026) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
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