Most cited computer science papers
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Enzyme: Incremental View Maintenance for Data Engineering
Yadav, R., Abeysinghe, S., Yang, M., Helt, J., Ung, M., Chen, Y., Hu, M., Wei, W., Yang, Y., van Bussel, T., et al. (2026) · arXiv
Advanced Database Systems and QueriesData Management and Algorithms
Cited by 1
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Fair and Transparent AI for Hiring: Evaluating Resume-Job Matching, Bias Mitigation, and Human-in-the-Loop Auditing
Algamaty, R. K. (2025) · Libyan Open University Journal of Applied Sciences (LOUJAS)
Ethics and Social Impacts of AIAI and HR Technologies
Cited by 1
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Colonial Pipeline: Responding to a Ransomware Attack in the Energy Sector
Janvrin, D. J., Boss, S. R., & Gray, J. (2026) · Issues in Accounting Education
Information and Cyber SecurityCybersecurity and Cyber Warfare Studies
Cited by 1
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DarkBench: Benchmarking Dark Patterns in Large Language Models
Kran, E., Nguyen, H. M. "., Kundu, A., Jawhar, S., Park, J., & Jurewicz, M. M. (2025) · arXiv
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 1
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Self-Admitted GenAI Usage in Open-Source Software
Xiao, T., Fan, Y., Calefato, F., Treude, C., Kula, R. G., Hata, H., & Baltes, S. (2026) · IEEE Transactions on Software Engineering
Software Engineering ResearchOpen Source Software Innovations
Cited by 1
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WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Tang, L., Rashtchian, C., Ferng, C.-S., Tomkins, A., Juan, D.-C., & Vu, T. (2026) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 1
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R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Jain, N., Singh, J., Shetty, M., Zheng, L., Sen, K., & Stoica, I. (2025) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 1
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CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
Sun, G., Manakul, P., Liusie, A., Pipatanakul, K., Zhang, C., Woodland, P., & Gales, M. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 1
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Uncertainty-guided annotation enhances segmentation with the human-in-the-loop
Khalili, N., Spronck, J., Ciompi, F., van der Laak, J., & Litjens, G. (2024) · arXiv
AI in cancer detectionMedical Image Segmentation Techniques
Cited by 1
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How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
Liu, Y., Ji, J., An, L., Jaakkola, T., Zhang, Y., & Chang, S. (2026) · arXiv
Information Retrieval and Search BehaviorAI-based Problem Solving and Planning
Cited by 1
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TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
Wang, J., Chen, R., Wang, Y., Liao, X., Fan, Z., Wu, X., Wu, W., Liu, X., & Zhao, J. (2026) · 2026 IEEE International Conference on Web Services (ICWS)
Software System Performance and ReliabilitySoftware Engineering Research
Cited by 1
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Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Hübotter, J., Bongni, S., Hakimi, I., & Krause, A. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1
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AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Kim, Y., Jang, H., Lee, D., & Choi, H.-J. (2022) · arXiv
Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning
Cited by 1
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Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap
Channing, G., Sock, J., Clark, R., Torr, P., & de Witt, C. S. (2024) · arXiv
Digital Media Forensic DetectionSpeech Recognition and Synthesis
Cited by 1
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MathML and other XML Technologies for Accessible PDF from LATEX
Mittelbach, F., Fischer, U., Carlisle, D., & Wright, J. (2025) · Proceedings of the 2025 ACM Symposium on Document Engineering
Mathematics, Computing, and Information ProcessingDigital Accessibility for Disabilities
Cited by 1
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Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
Suominen, O., Inkinen, J., & Lehtinen, M. (2025) · arXiv
Topic ModelingLibrary Science and Information Systems
Cited by 1
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MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
Yin, G., Bai, H., Ma, S., Nan, F., Sun, Y., Xu, Z., Ma, S., Lu, J., Kong, X., Zhang, A., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Nisioti, E., Mahaut, M., Oudeyer, P.-Y., Momennejad, I., & Moulin-Frier, C. (2022) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 1
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In-The-Wild Deepfake Detection using Adaptable CNN Models with Visual Class Activation Mapping for Improved Accuracy
Saealal, M. S., Ibrahim, M. Z., Shapiai, M. I., & Fadilah, N. (2023) · 2023 5th International Conference on Computer Communication and the Internet (ICCCI)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 1
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Merging Artificial Intelligence and Business Applications: Preface for ITQM 2025
Shi, Y., Li, J., Kou, G., Tien, J. M., & Berg, D. (2025) · Procedia Computer Science
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 1
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ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation
Zhao, X., Luo, X., Shi, Q., Chen, C., Wang, S., Liu, Z., & Sun, M. (2025) · arXiv
Multimodal Machine Learning ApplicationsSoftware Engineering Research
Cited by 1
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Data Observability: Ensuring Trust in Data Pipelines
Kanagarla, K. P. B. (2024) · SSRN Electronic Journal
Data Quality and ManagementSoftware System Performance and Reliability
Cited by 1
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The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models
Chen, Y., Zhu, D., Sun, Y., Chen, X., Zhang, W., & Shen, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Towards Decoding Developer Cognition in the Age of AI Assistants
Haque, E. A., Brown, C., LaToza, T. D., & Johnson, B. (2025) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
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