Most cited computer science papers
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Faster R-CNN for Detecting Regions in Human-Annotated Micrograph Images
Albinali, H., & Alzahrani, F. A. (2021) · 2021 International Conference of Women in Data Science at Taif University (WiDSTaif )
Advanced Neural Network ApplicationsCell Image Analysis Techniques
Cited by 2
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LARP: Language-Agent Role Play for Open-World Games
Yan, M., Li, R., Zhang, H., Wang, H., Yang, Z., & Yan, J. (2023) · arXiv
Artificial Intelligence in GamesSpeech and dialogue systems
Cited by 2
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Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots
Priola, M. P. (2024) · arXiv
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 2
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OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
Mehta, S., Sekhavat, M. H., Cao, Q., Horton, M., Jin, Y., Sun, C., Mirzadeh, I., Najibi, M., Belenko, D., Zatloukal, P., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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EPIC: Efficient Position-Independent Caching for Serving Large Language Models
Hu, J., Huang, W., Wang, W., Wang, H., Hu, T., Zhang, Q., Feng, H., Chen, X., Shan, Y., & Xie, T. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
Jing, L., Huang, Z., Wang, X., Yao, W., Yu, W., Ma, K., Zhang, H., Du, X., & Yu, D. (2024) · arXiv
Topic ModelingArtificial Intelligence Applications
Cited by 1
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A 915 MHz UHF low power RFID tag
Marcon, C., Palma, J. C., Hessel, F., Bezerra, E., Rohde, G., Reif, C., Azevedo, L., & Metzler, C. (2007) · Proceedings of the 20th annual conference on Integrated circuits and systems design
RFID technology advancementsLow-power high-performance VLSI design
Cited by 1
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An Information-Theoretic Analysis of In-Context Learning
Jeon, H. J., Lee, J. D., Lei, Q., & Van Roy, B. (2024) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 1
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Qwen3-ASR Technical Report
Shi, X., Wang, X., Guo, Z., Wang, Y., Zhang, P., Zhang, X., Guo, Z., Hao, H., Xi, Y., Yang, B., et al. (2026) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 1
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Model-Aware Tokenizer Transfer
Haltiuk, M., & Smywinski-Pohl, A. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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SysBench: Can Large Language Models Follow System Messages?
Qin, Y., Zhang, T., Zhang, T., Shen, Y., Luo, W., Sun, H., Zhang, Y., Qiao, Y., Chen, W., Zhou, Z., et al. (2024) · arXiv
Topic ModelingSpeech and dialogue systems
Cited by 1
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Artificial Intelligence: Advantages, Disadvantages, Benefits, and Threats
Rowbotham, M. (2026) · Productivity Press eBooks
Artificial Intelligence ApplicationsEthics and Social Impacts of AI
Cited by 1
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"AI Slop is DDoSing Open Source": Understanding the Impact of AI-Generated Contributions on Open Source Sustainability
Afroz, S., Miller, C., Menezes, T., Gilmour, E., Sarma, A., & Feng, Z. (2026) · arXiv
Open Source Software InnovationsSoftware Engineering Research
Cited by 1
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Explainable anomaly detection in encrypted network traffic using data analytics
Rahman, M. M., Soumik, M. S., Farids, M. S., Abdullah, C. A., Sutrudhar, B., Ali, M., & HOSSAIN, M. S. (2024) · Journal of Computer Science and Technology Studies
Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting
Cited by 1
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Enabling efficient low-bit quantization based on matrix product operators for KV cache compression
Wang, J.-Q., Han, X.-Q., Guo, P.-J., He, R.-Q., Gao, Z.-F., & Lu, Z.-Y. (2026) · Neural Networks
Advanced Neural Network ApplicationsTopic Modeling
Cited by 1
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InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
Han, X., Jian, Y., Hu, X., Liu, H., Wang, Y., Fan, Q., Ai, Y., Huang, H., He, R., Yang, Z., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsMathematics, Computing, and Information Processing
Cited by 1
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Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Hase, P., Hofweber, T., Zhou, X., Stengel-Eskin, E., & Bansal, M. (2024) · arXiv
Logic, Reasoning, and KnowledgeTopic Modeling
Cited by 1
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Investigating the Practicality of Existing Reinforcement Learning Algorithms: A Performance Comparison
Dizon-Paradis, O., Wormald, S., Capecci, D., Bhandarkar, A., & Woodard, D. (2023)
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 1
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Explaining CLIP's performance disparities on data from blind/low vision users
Massiceti, D., Longden, C., Słowik, A., Wills, S., Grayson, M., & Morrison, C. (2023) · arXiv
Multimodal Machine Learning ApplicationsAssistive Technology in Communication and Mobility
Cited by 1
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HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications
Xu, W., Desai, J., Wu, F., Valvoda, J., & Sengamedu, S. H. (2024) · arXiv
Speech and dialogue systemsAI and HR Technologies
Cited by 1
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MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
Liu, H., Liu, S., Zhou, Z., Xu, M., Xie, Y., Han, X., Pérez, J. C., Liu, D., Kahatapitiya, K., Jia, M., et al. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques
Cited by 1
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Ensino de programação com abordagens ativas: estratégias e resultados
Maia, P. C., Matias, D. G. D. L., Cândido, E. F., Bastos, J. L. R. C., Couto, M. B., Oliveira, M. M. D., Freitas, M. C. B. D., & Mesquita, S. G. (2025) · Cuadernos de Educación y Desarrollo
Teaching and Learning ProgrammingProblem and Project Based Learning
Cited by 1
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Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics
Du, Y., Huang, W., Zheng, D., Wang, Z., Montella, S., Lapata, M., Wong, K.-F., & Pan, J. Z. (2025) · arXiv
Topic ModelingAI-based Problem Solving and Planning
Cited by 1
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Threat Detection, Investigation, and Response
Udayakumar, P., & Anandan, D. R. (2025) · Design and Deploy Microsoft Azure Sentinel for IoMT
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 1
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