Most cited computer science papers
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$τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Yao, S., Shinn, N., Razavi, P., & Narasimhan, K. (2024) · arXiv
Information Retrieval and Search BehaviorAI-based Problem Solving and Planning
Cited by 9
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Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering
Cruz, E. D. L., Le, H., Meduri, K., Nadella, G. S., & Gonaygunta, H. (2025) · Computers, Materials & Continua
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 9
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Not all layers are equally as important: Every Layer Counts BERT
Georges Gabriel Charpentier, L., & Samuel, D. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Topic ModelingNatural Language Processing Techniques
Cited by 9
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Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Isaac-Medina, B. K. S., Poyser, M., Organisciak, D., Willcocks, C. G., Breckon, T. P., & Shum, H. P. H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 9
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Enhancing colour image encryption through parameters optimization of memristive hyperchaotic system with CPSO algorithm and LSAIM
Belete, B. A., Gelmecha, D. J., & Singh, R. S. (2025) · The Imaging Science Journal
Chaos-based Image/Signal EncryptionMetaheuristic Optimization Algorithms Research
Cited by 9
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Effect of Chinese characters on machine learning for Chinese author name disambiguation: A counterfactual evaluation
Kim, J., Kim, J., & Kim, J. (2023) · Journal of Information Science
Library Science and Information SystemsData Quality and Management
Cited by 9
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Scalable Pre-training of Large Autoregressive Image Models
El-Nouby, A., Klein, M., Zhai, S., Bautista, M. A., Toshev, A., Shankar, V., Susskind, J. M., & Joulin, A. (2024) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 9
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Revisiting Shor's quantum algorithm for computing general discrete logarithms
Ekerå, M. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 9
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Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Rasmussen, P., Paliychuk, P., Beauvais, T., Ryan, J., & Chalef, D. (2025) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 9
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Abnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats
Gorbenko, A., & Popov, V. (2020) · 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning
Cited by 9
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clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents
Chalamalasetti, K., Götze, J., Hakimov, S., Madureira, B., Sadler, P., & Schlangen, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsNatural Language Processing Techniques
Cited by 9
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Timber: An SDN based emulation platform for QoE Management Experimental Research
Ahmad, A., Floris, A., & Atzori, L. (2018) · 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
Software-Defined Networks and 5GNetwork Traffic and Congestion Control
Cited by 9
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A Survey on Self-Evolution of Large Language Models
Tao, Z., Lin, T.-E., Chen, X., Li, H., Wu, Y., Li, Y., Jin, Z., Huang, F., Tao, D., & Zhou, J. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 9
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What Are You Hiding? Algorithmic Transparency and User Perceptions
Springer, A., & Whittaker, S. (2018) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 9
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Internet threats to end-users: Hunting easy prey
Furnell, S. (2005) · Network Security
Information and Cyber SecuritySpam and Phishing Detection
Cited by 9
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Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
Tadros, T., Krishnan, G., Ramyaa, R., & Bazhenov, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Domain Adaptation and Few-Shot LearningNeural Networks and Applications
Cited by 9
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Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
Miller, E. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 9
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A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
Schoeffer, J. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 9
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MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
Core Team, Qiao, Z., Hua, Z., Ou, Z., Yue, Z., Jiang, Z., Huang, Z., Chen, Z., Zheng, Z., Xu, Z., et al. (2026) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 9
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InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
Miao, Y., Zhang, S., Ding, L., Bao, R., Zhang, L., & Tao, D. (2024) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 9
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Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction
Chen, S., Peng, C., Yang, B., Lin, J., Zhou, L., Jiang, Z., Liu, Z., Liu, Y., & Tang, L. (2026) · npj Artificial Intelligence
Context-Aware Activity Recognition SystemsMuscle activation and electromyography studies
Cited by 9
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Effective Long-Context Scaling of Foundation Models
Xiong, W., Liu, J., Molybog, I., Zhang, H., Bhargava, P., Hou, R., Martin, L., Rungta, R., Sankararaman, K. A., Oguz, B., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 9
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Authorship analysis of online predatory conversations using character level convolution neural networks
Misra, K., Devarapalli, H., Ringenberg, T. R., & Rayz, J. T. (2019) · 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Authorship Attribution and ProfilingHate Speech and Cyberbullying Detection
Cited by 9
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Low Dose CT Image Reconstruction Based on Structure Tensor Total Variation Using Accelerated Fast Iterative Shrinkage Thresholding Algorithm
Wu, J., Wang, X., Mou, X., Chen, Y., & Liu, S. (2020) · Sensors
Image and Signal Denoising MethodsMedical Imaging Techniques and Applications
Cited by 9
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