Most cited computer science papers
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Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
Kuang, J., Li, Y., Zhang, X., Li, Y., Yin, D., Sun, X., Shen, Y., & Yu, P. S. (2025) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
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Reinforcement Learning with a Terminator
Tennenholtz, G., Merlis, N., Shani, L., Mannor, S., Shalit, U., Chechik, G., Hallak, A., & Dalal, G. (2022) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 0
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Development of image encryption method using surjective finite automata and custom S-box within the advanced encryption standard framework
Barlybayev, A., Saukhanova, Z., Shakhmetova, G., Sharipbay, A., Raykul, S., & Khassenov, A. (2025) · Eastern-European Journal of Enterprise Technologies
Chaos-based Image/Signal EncryptionCryptographic Implementations and Security
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Impact of Generative AI on Student Learning in Higher Education using Robust Assessment Metrics Framework
Falade, A. M., & Mesioye, A. E. (2026) · Methods in Science and Technology Studies
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
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Forcing diffuse distributions out of language models
Zhang, Y., Schwarzschild, A., Carlini, N., Kolter, Z., & Ippolito, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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Enhancing Search Efficiency through LLM-Based User Memory Systems for Query Matching and Intent Modeling
Yu, X. (2026) · Preprints.org
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 0
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Shared Selective Persistent Memory for Agentic LLM Systems
Pedada, S., Dhavala, A., & Patil, N. (2026) · arXiv
Software Engineering ResearchAI-based Problem Solving and Planning
Cited by 0
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"We Permit the Use of AI, but [...]": The Landscape of AI Policies in Popular Open Source Projects
Hora, A., Robbes, R., & Zacchiroli, S. (2026) · arXiv
Software Engineering ResearchOpen Source Software Innovations
Cited by 0
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Towards human-like RL: Taming non-naturalistic behavior in deep RL via adaptive behavioral costs in 3D games
Ho, K.-H., Hsieh, P.-C., Lin, C.-C., Luo, Y.-R., Wang, F.-J., & Wu, I.-C. (2023) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 0
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Socratic agents for autonomous scientific discovery in high-dimensional physical systems
Zeng, X., Liu, P., Zang, Y., Shen, Y., Yu, F., Yu, C., Liu, M., & Du, Y. (2026) · arXiv
Artificial Intelligence ApplicationsMachine Learning in Materials Science
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Integration of Agile and DevOps Methods in Enterprise Information System Development to Improve Software Quality
Hakim, I., Ayuningtyas, P., & Prima, A. (2026) · Qriset Indonesia Journal of Information Technology
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 0
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Predicting Student Success in College Algebra Classes Using Machine Learning
Akcay Ozkan, Z., Yu, Y., & Stelmach, E. (2024) · 2023 ASEE Annual Conference & Exposition Proceedings
Online Learning and AnalyticsMathematics Education and Programs
Cited by 0
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Focus Your Attention (with Adaptive IIR Filters)
Lutati, S., Zimerman, I., & Wolf, L. (2023) · arXiv
Neural Networks and ApplicationsTopic Modeling
Cited by 0
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TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis
Shi, B., Liu, Y., Zhao, C., Chi, C., Wang, Z., Wang, X., & Feng, J. (2026) · arXiv
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 0
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Expressive Response Curves: Testing Expressive Game Feel with A*
Junius, N., & Carstensdottir, E. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Artificial Intelligence in GamesHuman Motion and Animation
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PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers
Loc, N. P. P., La Viet, T. H., Khanh, T. T., Nguyen, D. A., Pham, T. A. N., Nguyen, T., Chawla, N. V., Buntine, W., Wong, K.-S., Doan, K. D., et al. (2026) · arXiv
Topic ModelingAcademic Writing and Publishing
Cited by 0
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Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review
Ruan, Q., & Gurevych, I. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingAcademic Writing and Publishing
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Think Before You Accept: Can Written Justification Reduce Uncritical Uptake of AI Writing Suggestions?
Tao, Y., Meyer, J., & Kizilcec, R. F. (2026) · arXiv
Artificial Intelligence in EducationInnovative Teaching and Learning Methods
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Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory
Yuen, S., Medina, F. G., Su, T., Du, Y., & Sobey, A. J. (2025) · arXiv
AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation
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AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
Mathieu, T., Della Vecchia, R., Shilova, A., Centa, M. M., Kohler, H., Maillard, O.-A., & Preux, P. (2023) · arXiv
Reinforcement Learning in RoboticsSimulation Techniques and Applications
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AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical Algorithms
Zhao, H., Yang, Z., Li, J., He, D., Li, Z., Jin, C., Veeravalli, V. V., Gupta, A., & Arora, S. (2026) · arXiv
Logic, programming, and type systemsFormal Methods in Verification
Cited by 0
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Audio-Guided Visual Perception for Audio-Visual Navigation
Wang, Y., Yu, Y., Sun, F., Wang, L., & Zheng, W. (2025) · 2025 International Conference on Virtual Reality and Visualization (ICVRV)
Speech and Audio ProcessingMusic and Audio Processing
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An Extreme Multi-label Text Classification (XMTC) Library Dataset: What if we took "Use of Practical AI in Digital Libraries" seriously?
D'Souza, J., Sadruddin, S., Kähler, M., Salfinger, A., Zaccagna, L., Incitti, F., Snidaro, L., & Suominen, O. (2026) · arXiv
Text and Document Classification TechnologiesLibrary Science and Information Systems
Cited by 0
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Long-term Memory Reorganization of Navigational Episodes
Iggena, D., Schmelter, T., Maier, P. M., Reguieg, K., Finke, C., Hildebrand, K., & Ploner, C. J. (2026) · Nature Human Behaviour
Intelligent Tutoring Systems and Adaptive Learning
Cited by 0
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