Most cited computer science papers
- Verified
Trust and Community in Open Source Software Production
Osterloh, M., & Rota, S. (2004) · Analyse & Kritik
Open Source Software InnovationsDigital Platforms and Economics
Cited by 23
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Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
Agrawal, G., Kumarage, T., Alghamdi, Z., & Liu, H. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 23
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Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster
Dey, N., Gosal, G., Zhiming, Chen, Khachane, H., Marshall, W., Pathria, R., Tom, M., & Hestness, J. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 23
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Guest Editorial QoE-Aware Wireless Multimedia Systems
Martini, M. G., Chen, C. W., Chen, Z., Dagiuklas, T., Sun, L., & Zhu, X. (2012) · IEEE Journal on Selected Areas in Communications
Image and Video Quality AssessmentMultimedia Communication and Technology
Cited by 23
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A novel model for preserving Location Privacy in Internet of Things
Ullah, I., & Ali Shah, M. (2016) · 2016 22nd International Conference on Automation and Computing (ICAC)
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 23
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Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion
Wang, X., Liu, Z., Du, Y., Diao, Y., Liu, P., Lv, G., & Zhang, H. (2021) · Computational and Mathematical Methods in Medicine
Medical Image Segmentation TechniquesImage Retrieval and Classification Techniques
Cited by 23
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PriMock57: A Dataset Of Primary Care Mock Consultations
Papadopoulos Korfiatis, A., Moramarco, F., Sarac, R., & Savkov, A. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Speech and dialogue systemsNatural Language Processing Techniques
Cited by 23
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On post-processing in the quantum algorithm for computing short discrete logarithms
Ekerå, M. (2020) · Designs, Codes and Cryptography
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 23
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A Generic Quantitative Relationship to Assess Interdependency of QoE and QoS
Khorsandroo, S., Noor, R. M., & Khorsandroo, S. (2013) · KSII Transactions on Internet and Information Systems
Image and Video Quality AssessmentNetwork Traffic and Congestion Control
Cited by 23
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LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Narayanan Venkit, P., Zhang, N., Srinath, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 23
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ithermofog: iot-fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques
Tuli, S., Gill, S. S., Casale, G., & Jennings, N. R. (2020) · Internet Technology Letters
Cloud Computing and Resource ManagementIoT and Edge/Fog Computing
Cited by 23
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Grounded Copilot: How Programmers Interact with Code-Generating Models
Barke, S., James, M. B., & Polikarpova, N. (2022) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 23
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Insights and Conflicts in Discussing Recursion: A Case Study
Levy, D. (2001) · Computer Science Education
Teaching and Learning ProgrammingScience Education and Pedagogy
Cited by 23
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Fairness, accountability, transparency in AI at scale: lessons from national programs
Ahmad, M. A., Teredesai, A., & Eckert, C. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 23
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Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
Jiang, A. Q., Li, W., Tworkowski, S., Czechowski, K., Odrzygóźdź, T., Miłoś, P., Wu, Y., & Jamnik, M. (2022) · arXiv
Logic, programming, and type systemsMathematics, Computing, and Information Processing
Cited by 23
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Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
Qi, P., Zhang, Y., & Manning, C. D. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Speech and dialogue systemsTopic Modeling
Cited by 23
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Probing Pretrained Models of Source Codes
Troshin, S., & Chirkova, N. (2022) · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Software Engineering ResearchTopic Modeling
Cited by 23
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An Overview of Social Engineering in the Context of Information Security
Kaushalya, S. A. D. T. P., Randeniya, R. M. R. S. B., & Liyanage, A. D. S. (2018) · 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS)
Information and Cyber SecuritySpam and Phishing Detection
Cited by 23
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Hierarchical generative modelling for autonomous robots
Yuan, K., Sajid, N., Friston, K., & Li, Z. (2023) · Nature Machine Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 23
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Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
Cambier, L., Bhiwandiwalla, A., Gong, T., Nekuii, M., Elibol, O. H., & Tang, H. (2020) · arXiv
Numerical Methods and AlgorithmsAdvanced Neural Network Applications
Cited by 23
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A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems
Wu, F., Zhang, N., Jha, S., McDaniel, P., & Xiao, C. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 23
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Edge Computing Enabled Resilient Wireless Network Virtualization for Internet of Things
Rawat, D. B., Parwez, M. S., & Alshammari, A. (2017) · 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)
IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G
Cited by 23
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DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
Tuli, S., Casale, G., Cherkasova, L., & Jennings, N. R. (2023) · IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
IoT and Edge/Fog ComputingSoftware System Performance and Reliability
Cited by 23
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Differential Transformer
Ye, T., Dong, L., Xia, Y., Sun, Y., Zhu, Y., Huang, G., & Wei, F. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 23
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