Most cited computer science papers
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Aboutness and Conceptual Analysis: A Review
Holley, R. M., & Joudrey, D. N. (2021) · Cataloging & Classification Quarterly
Library Science and Information SystemsLibrary Science and Information
Cited by 3
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WorldSimBench: Towards Video Generation Models as World Simulators
Qin, Y., Shi, Z., Yu, J., Wang, X., Zhou, E., Li, L., Yin, Z., Liu, X., Sheng, L., Shao, J., et al. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 3
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Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One
Li, T., Zhang, X., Du, C., Pang, T., Liu, Q., Guo, Q., Shen, C., & Liu, Y. (2024) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 3
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User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
Liu, Y., Zhang, M. J. Q., & Choi, E. (2025) · arXiv
Speech and dialogue systemsInformation Retrieval and Search Behavior
Cited by 3
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Self-Adapting Language Models
Zweiger, A., Pari, J., Guo, H., Akyürek, E., Kim, Y., & Agrawal, P. (2025) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 3
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AAAR-1.0: Assessing AI's Potential to Assist Research
Lou, R., Xu, H., Wang, S., Du, J., Kamoi, R., Lu, X., Xie, J., Sun, Y., Zhang, Y., Ahn, J. J., et al. (2024) · arXiv
Topic ModelingArtificial Intelligence Applications
Cited by 3
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A particle-based variational approach to Bayesian non-negative matrix factorization
Masood, M. A., & Doshi-Velez, F. (2018) · arXiv
Gaussian Processes and Bayesian InferenceFace and Expression Recognition
Cited by 3
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Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?
Sun, R. (2024) · arXiv
Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning
Cited by 3
- Verified · note
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
Tang, T., Lu, H., Jiang, Y. E., Huang, H., Zhang, D., Zhao, W. X., Kocmi, T., & Wei, F. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 3
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The Big Picture: Big Data and Privacy
Lazar, N. (2015) · CHANCE
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 3
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ChatGPT as speechwriter for the French presidents
Labbé, D., Labbé, C., & Savoy, J. (2024) · arXiv
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 3
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AnomGraphAdv: Enhancing Anomaly and Network Intrusion Detection in Wireless Networks Using Adversarial Training and Temporal Graph Networks
Bajpai, S., Krishna Murthy, P., & Kumar, N. (2024) · Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks
Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications
Cited by 3
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Towards Explainable AI in Agentic Retrieval-Augmented Generation: A Systematic Review
Habib, A., Abdulmahmod, O. F., Raza, M., Gu, Y. H., Aydoğan, M., & Al-antari, M. A. (2025) · 2025 9th International Artificial Intelligence and Data Processing Symposium (IDAP)
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 3
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QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
Hu, Y., Zhou, Q., Chen, Q., Li, X., Liu, L., Zhang, D., Kachroo, A., Oz, T., & Tripp, O. (2025) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 3
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A Comprehensive Review of AI and ML in Data Governance and Data Quality
Mahendra, P., Doshi, P., Verma, A., & Shrivastava, S. (2025) · 2025 3rd International Conference on Inventive Computing and Informatics (ICICI)
Data Quality and ManagementEthics and Social Impacts of AI
Cited by 3
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Extremum Encoding for Joint Baseband Signal Compression and Time-Delay Estimation for Distributed Systems
Weiss, A., Kochman, Y., & Wornell, G. W. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Distributed Sensor Networks and Detection AlgorithmsRadar Systems and Signal Processing
Cited by 3
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Human-Computer User Interface Design for Semiliterate and Illiterate Users
Chaudhry, S., Muhammad, A., Shah, A. A., & Batoo, F. (2021) · Lahore Garrison University Research Journal of Computer Science and Information Technology
Usability and User Interface DesignICT in Developing Communities
Cited by 3
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Beyond Synthetic Benchmarks: Evaluating LLM Performance on Real-World Class-Level Code Generation
Rahman, M., Khatoonabadi, S., & Shihab, E. (2025) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 3
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PHYSICS: Benchmarking Foundation Models on University-Level Physics Problem Solving
Feng, K., Zhao, Y., Liu, Y., Yang, T., Zhao, C., Sous, J., & Cohan, A. (2025) · arXiv
Topic ModelingEducational Methods and Outcomes
Cited by 3
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TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues
Ge, Y., Romeo, S., Cai, J., Shu, R., Sunkara, M., Benajiba, Y., & Zhang, Y. (2025) · arXiv
Logic, Reasoning, and KnowledgeSpeech and dialogue systems
Cited by 3
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ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents
Kang, H., & Xiong, C. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 3
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Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study
Tomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., et al. (2019) · Research Square
Machine Learning in HealthcareAcute Kidney Injury Research
Cited by 3
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TRAIL: Trace Reasoning and Agentic Issue Localization
Deshpande, D., Gangal, V., Mehta, H., Krishnan, J., Kannappan, A., & Qian, R. (2025) · arXiv
Software Testing and Debugging TechniquesSoftware System Performance and Reliability
Cited by 3
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LLM Agents Making Agent Tools
Wölflein, G., Ferber, D., Truhn, D., Arandjelović, O., & Kather, J. N. (2025) · arXiv
Software Engineering ResearchScientific Computing and Data Management
Cited by 3
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