Most cited computer science papers
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No black boxes: Interpretable and interactable predictive healthcare with knowledge-enhanced agentic causal discovery
Han, X., Hu, P., Lu, C., Ding, J.-E., Liu, F., & Ning, Y. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025
Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)
Cited by 2
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Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Zhao, H., Andriushchenko, M., Croce, F., & Flammarion, N. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 2
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Active Reward Learning from Multiple Teachers
Barnett, P., Freedman, R., Svegliato, J., & Russell, S. (2023) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 2
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Memory in LLM-Based Multi-agent Systems: Mechanisms, Challenges, and Collective Intelligence
Wu, S., & Shu, K. (2026) · Lecture Notes in Computer Science
Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning
Cited by 2
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Searching for optimal experimental parameters with D-Wave quantum annealer for fabrication of Au atomic junctions
Yoneda, Y., Shimada, M., Yoshida, A., & Shirakashi, J.-I. (2023) · Applied Physics Express
Quantum Computing Algorithms and ArchitectureMolecular Junctions and Nanostructures
Cited by 2
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SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software
Wang, Z., Chen, J., Wei, Z., Lin, L., & Tong, G. (2026) · Sensors
Software Engineering ResearchAdversarial Robustness in Machine Learning
Cited by 2
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Tree Search for Language Model Agents
Koh, J. Y., McAleer, S., Fried, D., & Salakhutdinov, R. (2024) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 2
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Modern Approaches to Unix Automation: Shell Scripting, Configuration Management, and Security
Madamanchi, S. R. (2025) · International Journal for Research in Applied Science and Engineering Technology
Software System Performance and ReliabilityEngineering and Information Technology
Cited by 2
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İLERİ-GERİ TAKİP ALGORİTMASI TABANLI SEYREK AŞIRI ÖĞRENME MAKİNESİ
ALÇİN, Ö. F., ŞENGÜR, A., & İNCE, M. C. (2015) · Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi
Neural Networks and ApplicationsMachine Learning and ELM
Cited by 2
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Hierarchical prompting assists large language model on web navigation
Sridhar, A., Lo, R., Xu, F. F., Zhu, H., & Zhou, S. (2023) · arXiv
Information Retrieval and Search BehaviorWeb Data Mining and Analysis
Cited by 2
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Can we predict learners' personalities through their behavioural patterns? A pilot study using Behaviour Analytics-Moodle plugin
Denden, M., Tlili, A., Chang, M., Krahn, T., Kuo, R., Abed, M., & Jemni, M. (2021) · 2021 8th International Conference on ICT & Accessibility (ICTA)
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 2
- Verified · note
Latent Execution for Neural Program Synthesis
Chen, X., Song, D., & Tian, Y. (2021) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 2
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UCCIX: Irish-eXcellence Large Language Model
Tran, K.-T., O’Sullivan, B., & Nguyen, H. D. (2024) · Frontiers in Artificial Intelligence and Applications
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Expressions on the nature and significance of programming and play
Barik, T. (2017) · 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Teaching and Learning ProgrammingSoftware Engineering Techniques and Practices
Cited by 2
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Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing
Ariño, H., Bae, S. K., Chaturvedi, J., Wang, T., & Roberts, A. (2023) · Frontiers in Digital Health
Machine Learning in HealthcareNursing Diagnosis and Documentation
Cited by 2
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EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
Liao, S., Lan, S., & Zachariah, A. G. (2024) · arXiv
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 2
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Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
Liu, J., Zhao, X., Shang, X., & Shen, Z. (2026) · arXiv
Advanced Software Engineering MethodologiesArtificial Intelligence Applications
Cited by 2
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RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
Monteiro, J., Noel, P.-A., Marcotte, E., Rajeswar, S., Zantedeschi, V., Vazquez, D., Chapados, N., Pal, C., & Taslakian, P. (2024) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 2
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Revolutionizing Product Recommendations with Generative AI: Context-Aware Personalization at Scale
Malikireddy, S. K. R. (2024) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 2
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Student Perceptions of Using Generative AI Chatbot in Learning Programming
KHOR, E. T., CHAN, L., KOH, E., & SEOW, P. (2024) · International Conference on Computers in Education
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 2
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Inadequacy of common stochastic neural networks for reliable clinical decision support
Lindenmeyer, A., Blattmann, M., Franke, S., Neumuth, T., & Schneider, D. (2024) · arXiv
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 2
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Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead
Liu, F., Liu, Y., Sun, R., Luo, L., & Guo, S. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 2
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Language Models Fail to Introspect About Their Knowledge of Language
Song, S., Hu, J., & Mahowald, K. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 2
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Automated UML Visualization of Software Ecosystems: Tracking Versions, Dependencies, and Security Updates
Kan, V., Lnu, M. P., Berhe, S., El Kari, C., Maynard, M., & Khomh, F. (2025) · Procedia Computer Science
Model-Driven Software Engineering TechniquesSoftware Engineering Research
Cited by 2
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