Most cited computer science papers
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Self-playing Adversarial Language Game Enhances LLM Reasoning
Cheng, P., Hu, T., Xu, H., Zhang, Z., Yuan, Z., Dai, Y., Han, L., Du, N., & Li, X. (2024) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 11
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The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities
Jamshidi, S., Shahabi, N., Nikanjam, A., Nafi, K. W., Khomh, F., & Fung, C. (2025) · Internet of Things
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 11
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AI management an exploratory survey of the influence of GDPR and FAT principles
Addis, C., & Kutar, M. (2019) · 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 11
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Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Wang, L., Gao, H., Zhao, C., Sun, X., & Dai, D. (2024) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 11
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Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
Tang, H., Hu, K., Zhou, J. P., Zhong, S., Zheng, W.-L., Si, X., & Ellis, K. (2024) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 11
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LogLLM: Log-based Anomaly Detection Using Large Language Models
Guan, W., Cao, J., Qian, S., Gao, J., & Ouyang, C. (2024) · arXiv
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 11
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Data Poisoning Attacks against Differentially Private Recommender Systems
Wadhwa, S., Agrawal, S., Chaudhari, H., Sharma, D., & Achan, K. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Privacy-Preserving Technologies in DataRecommender Systems and Techniques
Cited by 11
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How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
Kumarage, T., Sheth, P., Moraffah, R., Garland, J., & Liu, H. (2023) · arXiv
Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling
Cited by 11
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Benchmarking Linguistic Diversity of Large Language Models
Guo, Y., Shang, G., & Clavel, C. (2025) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 11
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A decision support system for the detection of cutaneous fungal infections using artificial intelligence
Rappoport, N., Goldinger, G., Debby, A., Molchanov, Y., Barak, Y., Gildenblat, J., Hadar, O., Sagiv, C., & Barzilai, A. (2024) · Pathology - Research and Practice
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 11
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Collaborative Storytelling with Human Actors and AI Narrators
Branch, B., Mirowski, P., & Mathewson, K. W. (2021) · arXiv
Artificial Intelligence in GamesSpeech and dialogue systems
Cited by 11
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SmartMobiCam: Towards a New Paradigm for Leveraging Smartphone Cameras and IaaS Cloud for Smart City Video Surveillance
Durga, S., Surya, S., & Daniel, E. (2018) · 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI)
Video Surveillance and Tracking MethodsIoT and Edge/Fog Computing
Cited by 11
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Validation of High-Availability Model for Edge Devices and IIoT
Peniak, P., Bubeníková, E., & Kanáliková, A. (2023) · Sensors
IoT and Edge/Fog ComputingDigital Transformation in Industry
Cited by 11
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A Signal Distribution Network for Sequential Quantum-Dot Cellular Automata Systems
Hast, H., Khorbotly, S., & Tougaw, D. (2015) · IEEE Transactions on Nanotechnology
Quantum-Dot Cellular AutomataCellular Automata and Applications
Cited by 11
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On the Tool Manipulation Capability of Open-source Large Language Models
Xu, Q., Hong, F., Li, B., Hu, C., Chen, Z., & Zhang, J. (2023) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 11
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Misogynoir: public online response towards self-reported misogynoir
Kwarteng, J., Perfumi, S. C., Farrell, T., & Fernandez, M. (2021) · Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI
Cited by 11
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A Novel Privacy-Preserving Incentive Mechanism for Multi-Access Edge Computing
You, F., Yuan, X., Ni, W., & Jamalipour, A. (2024) · IEEE Transactions on Cognitive Communications and Networking
IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data
Cited by 11
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Blockchain-based Supply Chain Traceability for COVID-19 PPE
Omar, I., Debe, M., Jayaraman, R., Salah, K., Omar, M., & Arshad, J. (2020)
Blockchain Technology Applications and SecurityFood Supply Chain Traceability
Cited by 11
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The advantage of computation offloading in multi-access edge computing
Singh, R., Armour, S., Khan, A., Sooriyabandara, M., & Oikonomou, G. (2019) · 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)
IoT and Edge/Fog ComputingCloud Computing and Remote Desktop Technologies
Cited by 11
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Exploring Autonomous Agents through the Lens of Large Language Models: A Review
Barua, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 11
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Computing ethicsComputer experts: guns-for-hire or professionals?
Johnson, D. G. (2008) · Communications of the ACM
Ethics and Social Impacts of AIFlooding and Environmental Impact
Cited by 11
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A Natural Language Processing Tool to Support the Electronic Invoicing Process in Italy
Di Puglia Pugliese, L., Guerriero, F., Macrina, G., & Messina, E. (2021) · 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Handwritten Text Recognition TechniquesTopic Modeling
Cited by 11
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The Container Deployment Strategy Based on Stable Matching
Chen, F., Zhou, X., & Shi, C. (2019) · 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Cloud Computing and Resource ManagementEnergy Efficiency in Computing
Cited by 11
- Verified · note
TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage
Ruan, J., Chen, Y., Zhang, B., Xu, Z., Bao, T., Du, G., Shi, S., Mao, H., Li, Z., Zeng, X., et al. (2023) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 11
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