Most cited computer science papers
- Verified
Codes and Protocols for Distilling T , controlled- S , and Toffoli Gates
Haah, J., & Hastings, M. B. (2018) · Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 79
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VALIDATION OF THE ASTER GLOBAL DIGITAL ELEVATION MODEL VERSION 2 OVER THE CONTERMINOUS UNITED STATES
Gesch, D., Oimoen, M., Zhang, Z., Meyer, D., & Danielson, J. (2012) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Satellite Image Processing and PhotogrammetryGNSS positioning and interference
Cited by 79
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MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
Bai, G., Liu, J., Bu, X., He, Y., Liu, J., Zhou, Z., Lin, Z., Su, W., Ge, T., Zheng, B., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Speech and dialogue systemsTopic Modeling
Cited by 79
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Optimizing quantum heuristics with meta-learning
Wilson, M., Stromswold, R., Wudarski, F., Hadfield, S., Tubman, N. M., & Rieffel, E. G. (2021) · Quantum Machine Intelligence
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 79
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Design guidelines for hands-free speech interaction
Murad, C., Munteanu, C., Clark, L., & Cowan, B. R. (2018) · Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
Usability and User Interface DesignSpeech and dialogue systems
Cited by 79
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Noise thresholds for optical cluster-state quantum computation
Dawson, C. M., Haselgrove, H. L., & Nielsen, M. A. (2006) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 79
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AgentBench: Evaluating LLMs as Agents
Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., et al. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 79
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Imitating Latent Policies from Observation
Edwards, A. D., Sahni, H., Schroecker, Y., & Isbell, C. L. (2018) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 79
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Zero Trust Architecture in Cloud Networks: Application, Challenges and Future Opportunities
Ahmadi, S. (2024) · Journal of Engineering Research and Reports
Cybersecurity and Information SystemsCloud Data Security Solutions
Cited by 79
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Journal Data Sharing Policies and Statistical Reporting Inconsistencies in Psychology
Nuijten, M. B., Borghuis, J., Veldkamp, C. L. S., Dominguez-Alvarez, L., van Assen, M. A. L. M., & Wicherts, J. M. (2017) · Collabra: Psychology
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 79
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Minimal AR: visual asset optimization for the authoring of augmented reality work instructions in manufacturing
Laviola, E., Gattullo, M., Manghisi, V. M., Fiorentino, M., & Uva, A. E. (2022) · The International Journal of Advanced Manufacturing Technology
Augmented Reality ApplicationsInteractive and Immersive Displays
Cited by 79
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SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
Le, T., Thai, M. V. T., Manh, D. N., Nhat, H. P., & Bui, N. D. Q. (2025) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 79
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Model-based testing for software safety: a systematic mapping study
Gurbuz, H. G., & Tekinerdogan, B. (2018) · Software Quality Journal
Software Testing and Debugging TechniquesSafety Systems Engineering in Autonomy
Cited by 78
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De-Identification in Learning Analytics
Khalil, M., & Ebner, M. (2016) · Journal of Learning Analytics
Online Learning and AnalyticsPrivacy-Preserving Technologies in Data
Cited by 78
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Construct Validity in Software Engineering Research and Software Metrics
Ralph, P., & Tempero, E. (2018) · Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 78
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Multilevel Color Image Segmentation Based on GLCM and Improved Salp Swarm Algorithm
Xing, Z., & Jia, H. (2019) · IEEE Access
Metaheuristic Optimization Algorithms ResearchMedical Image Segmentation Techniques
Cited by 78
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Active Learning for Deep Object Detection
Brust, C.-A., Käding, C., & Denzler, J. (2019) · Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Machine Learning and AlgorithmsAdvanced Neural Network Applications
Cited by 78
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The AED free storage package
Ross, D. T. (1967) · Communications of the ACM
Logic, programming, and type systemsParallel Computing and Optimization Techniques
Cited by 78
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Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making
Lee, M. H., & Chew, C. J. (2023) · Proceedings of the ACM on Human-Computer Interaction
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 78
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SceneCraft: Automating Interactive Narrative Scene Generation in Digital Games with Large Language Models
Kumaran, V., Rowe, J., Mott, B., & Lester, J. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Artificial Intelligence in GamesDigital Games and Media
Cited by 78
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Introduction to Neural Network Verification
Albarghouthi, A. (2021) · Foundations and Trends® in Programming Languages
Formal Methods in VerificationLogic, programming, and type systems
Cited by 78
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Accuracy validation and comparison of global digital elevation models over Croatia
Varga, M., & Bašić, T. (2015) · International Journal of Remote Sensing
Satellite Image Processing and PhotogrammetryGeodetic Measurements and Engineering Structures
Cited by 78
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Integration of ATM call admission control and link capacity control by distributed neural networks
Hiramatsu, A. (1991) · IEEE Journal on Selected Areas in Communications
Network Traffic and Congestion ControlWireless Communication Networks Research
Cited by 78
- Verified · note
Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition
Cao, C., Zhang, Y., Zhang, C., & Lu, H. (2018) · IEEE Transactions on Cybernetics
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 78
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