Most cited computer science papers
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SETA: Scaling Environments for Terminal Agents
Shen, Q., Huang, Z., Kamanuru, V., Aliev, A., Rainton, J., Awelkair, A., Zeng, Z., Li, J., Dong, S., Yuan, Y., et al. (2026) · arXiv
Reinforcement Learning in RoboticsNatural Language Processing Techniques
Cited by 0
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Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
Han, Z., Bai, Z., Mei, H., Xu, Q., Zhang, C., & Shou, M. Z. (2024) · arXiv
Multimodal Machine Learning ApplicationsNatural Language Processing Techniques
Cited by 0
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Who Pays the Review Cost? Triage, Fairness, and Accountability in AI-authored Pull Requests
Rahman, M. S., Alam, K., Roy, B., & Roy, C. K. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
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WANDR: A Benchmark for Wide and Deep Research
Polshkov, V., Pitera, M., Yang, J., Priemko, K., Gaiduk, M., Nikolenko, A., Bykov, D., Southern, C., Yarats, D., & Ma, J. (2026) · arXiv
Web Data Mining and AnalysisInformation Retrieval and Search Behavior
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Hallucination Detection in LLMs: Fast and Memory-Efficient Fine-Tuned Models
Arteaga, G. Y., Schön, T. B., & Pielawski, N. (2024) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
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MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
Zhou, H., Zhang, X., Tong, P., Zhang, J., Chen, L., Kong, Q., Cai, C., Liu, C., Wang, Y., Zhou, J., et al. (2025) · arXiv
Recommender Systems and TechniquesSpeech and dialogue systems
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AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve
Ananda, C. M., Gupta, R., Trofin, M., Grossman, A., Tallam, S., Li, X. D., & Yazdanbakhsh, A. (2026) · arXiv
Parallel Computing and Optimization TechniquesSoftware Engineering Research
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Music Flamingo: Scaling Music Understanding in Audio Language Models
Ghosh, S., Goel, A., Koroshinadze, L., Lee, S.-G., Kong, Z., Santos, J. F., Duraiswami, R., Manocha, D., Ping, W., Shoeybi, M., et al. (2025) · arXiv
Music and Audio ProcessingMultimodal Machine Learning Applications
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Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations
Fedorov, I., Plawiak, K., Wu, L., Elgamal, T., Suda, N., Smith, E., Zhan, H., Chi, J., Hulovatyy, Y., Patel, K., et al. (2024) · arXiv
Hate Speech and Cyberbullying DetectionAdversarial Robustness in Machine Learning
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A CNN-LSTM Security Model for SCADA Network
Dye, O., & Dye, B. (2026) · Proceedings of the 2026 ACM Secure Development Conference
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 0
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Learning to Route LLMs with Confidence Tokens
Chuang, Y.-N., Sarma, P. K., Gopalan, P., Boccio, J., Bolouki, S., Hu, X., & Zhou, H. (2024) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
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Data for "Limitations of Quantum Approximate Optimization in Solving Generic Higher-Order Constraint-Satisfaction Problems"
Müller, T., Singh, A., & Bode, T. (2024) · Zenodo
Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs
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Towards a Common Framework for Autoformalization
Mensfelt, A., Tena Cucala, D., Franco, S., Koutsoukou-Argyraki, A., Trencsenyi, V., & Stathis, K. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence
Logic, programming, and type systemsMathematics, Computing, and Information Processing
Cited by 0
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SERA: Soft-Verified Efficient Repository Agents
Shen, E., Tormoen, D., Shah, S., Farhadi, A., & Dettmers, T. (2026) · arXiv
Software Engineering ResearchTopic Modeling
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Inducing Programmatic Skills for Agentic Tasks
Wang, Z. Z., Gandhi, A., Neubig, G., & Fried, D. (2025) · arXiv
Web Data Mining and AnalysisAI-based Problem Solving and Planning
Cited by 0
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Vision-Guided Iterative Refinement for Frontend Code Generation
Sansford, H., Law, D. H. C., Liu, W., Tripathi, A., Agarwal, N., & Burg, G. J. J. V. D. (2026) · arXiv
Multimodal Machine Learning ApplicationsSoftware Engineering Research
Cited by 0
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Long-Term Agent Memory through Complementary Curation and Consolidation
Gupta, A., Han, D., Diaz, D. M., Chen, W.-N., Das, M., Rühle, V., & Rajmohan, S. (2026) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
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Pengembangan Computerized Maintenance Management System (CMMS) Berbasis Mobile dengan React Native sebagai Solusi Monitoring Asset dan Work Order
Bakhtiar, M., & Chotijah, U. (2025) · Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI)
Mobile and Web ApplicationsEngineering and Information Technology
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Spectral-aware Unique Identifiers for Generative Retrieval and Vector Search
Moriondo, L. (2026)
Topic ModelingInformation Retrieval and Search Behavior
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Bridging the programming gap: Integrating AI-mediated coding tools to strengthen hydrometeorological data analysis competencies in undergraduate water science students
Izquierdo, T., & Jiménez-Díaz, A. (2026)
Artificial Intelligence in EducationTeaching and Learning Programming
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A Skill-Based AI Agentic Pipeline for Library of Congress Subject Indexing
Chow, E. H. C. (2026) · arXiv
Library Science and Information SystemsInformation Retrieval and Search Behavior
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Omission Constraints Decay While Commission Constraints Persist in Long-Context LLM Agents
Gamage, Y. (2026) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
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The Impact of Generative AI on Personalized Content Marketing in E-Commerce
Mohiuddin, D., Tariq, M. H., & Tahir, A. (2025) · Inverge Journal of Social Sciences
AI in Service InteractionsDigital Marketing and Social Media
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When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation
Zou, H. P., Miao, C., Huang, W.-C., Chen, Y., Zhou, Y., Zhang, H., Wu, Y., Fang, L., Gu, Z., Zhang, Z., et al. (2026) · arXiv
Information Retrieval and Search BehaviorAI-based Problem Solving and Planning
Cited by 0
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