Most cited computer science papers
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LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Gupta, A., Sheth, I., Raina, V., Gales, M., & Fritz, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsTopic Modeling
Cited by 10
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What if eye...? Computationally recreating vision evolution
Tiwary, K., Young, A., Tasneem, Z., Klinghoffer, T., Dave, A., Poggio, T., Nilsson, D.-E., Cheung, B., & Raskar, R. (2025) · Science Advances
Evolutionary Algorithms and ApplicationsVisual perception and processing mechanisms
Cited by 10
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The Evolution of Mixture of Experts: A Survey from Basics to Breakthroughs
Vats, A., Raja, R., Jain, V., & Chadha, A. (2024) · Preprints.org
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 10
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Large Language Models and Mathematical Reasoning Failures
Boye, J., & Moell, B. (2025) · arXiv
Topic ModelingMathematics Education and Pedagogy
Cited by 10
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Neurosymbolic AI Approach to Attribution in Large Language Models
Tilwani, D., Venkataramanan, R., & Sheth, A. P. (2024) · IEEE Intelligent Systems
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 10
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From Black Boxes to Glass Boxes: Explainable AI for Trustworthy Deepfake Forensics
Qian, H., Xia, L., Ge, R., Fan, Y., Wang, Q., & Jing, Z. (2025) · Cryptography
Digital Media Forensic DetectionExplainable Artificial Intelligence (XAI)
Cited by 10
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Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images
Su, Z., Rezapour, M., Sajjad, U., Niu, S., Gurcan, M. N., & Niazi, M. K. K. (2024) · IEEE Journal of Biomedical and Health Informatics
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 10
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An ensemble model for predicting dispositions of emergency department patients
Kuo, K.-M., Lin, Y.-L., Chang, C. S., & Kuo, T. J. (2024) · BMC Medical Informatics and Decision Making
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 10
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QuALITY: Question Answering with Long Input Texts, Yes!
Pang, R. Y., Parrish, A., Joshi, N., Nangia, N., Phang, J., Chen, A., Padmakumar, V., Ma, J., Thompson, J., He, H., et al. (2021) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 10
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Agency Aspirations: Understanding Users' Preferences And Perceptions Of Their Role In Personalised News Curation
Rezk, A. M., Simkute, A., Luger, E., Vines, J., Elsden, C., Evans, M., & Jones, R. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Recommender Systems and TechniquesInnovative Human-Technology Interaction
Cited by 10
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On good encodings for quantum annealer and digital optimization solvers
Ceselli, A., & Premoli, M. (2023) · Scientific Reports
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 10
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Universal Jailbreak Backdoors from Poisoned Human Feedback
Rando, J., & Tramèr, F. (2023) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 10
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Combining Human-in-the-Loop Systems and AI Fairness Toolkits to Reduce Age Bias in AI Job Hiring Algorithms
Harris, C. G. (2024) · 2024 IEEE International Conference on Big Data and Smart Computing (BigComp)
Ethics and Social Impacts of AIAI and HR Technologies
Cited by 10
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Loss of Plasticity in Continual Deep Reinforcement Learning
Abbas, Z., Zhao, R., Modayil, J., White, A., & Machado, M. C. (2023) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 10
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Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER
Zeng, Q., Yu, W., Yu, M., Jiang, T., Weninger, T., & Jiang, M. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Topic ModelingBiomedical Text Mining and Ontologies
Cited by 10
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Earthquake Detection with tinyML
Clements, T. (2023) · Seismological Research Letters
Seismology and Earthquake StudiesEarthquake Detection and Analysis
Cited by 10
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Girls get it
Mason, R., Cooper, G., & Comber, T. (2011) · ACM Inroads
Teaching and Learning ProgrammingGender and Technology in Education
Cited by 10
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Image Processing Contrast Enhancement
Grigoryan, A. M., & Agaian, S. S. (2017) · Wiley Encyclopedia of Electrical and Electronics Engineering
Image Enhancement TechniquesAdvanced Image Processing Techniques
Cited by 10
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Sora as a World Model? A Complete Survey on Text-to-Video Generation
Puspitasari, F. D., Zhang, C., Cho, J., Haider, A., Eman, N. U., Amin, O., Mankowski, A., Umair, M., Zheng, J., Zheng, S., et al. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 10
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Ma11y: A Mutation Framework for Web Accessibility Testing
Tafreshipour, M., Deshpande, A., Mehralian, F., Ahmed, I., & Malek, S. (2024) · Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis
Software Testing and Debugging TechniquesDigital Accessibility for Disabilities
Cited by 10
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SecT: A Zero-Trust Framework for Secure Remote Access in Next-Generation Industrial Networks
Asim, M., Tariq, N., Awad, A. I., Waheed, F., Ullah, U., & Murtaza, G. (2025) · IEEE Journal on Selected Areas in Communications
Cybersecurity and Information SystemsSoftware-Defined Networks and 5G
Cited by 10
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StruQ: defending against prompt injection with structured queries
Chen, S., Piet, J., Sitawarin, C., & Wagner, D. (2024) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 10
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AI Risk Skepticism, A Comprehensive Survey
Ambartsoumean, V. M., & Yampolskiy, R. V. (2023) · arXiv
Ethics and Social Impacts of AIRisk Perception and Management
Cited by 10
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Conformity in large language models
Zhu, X., Zhang, C., Stafford, T., Collier, N., & Vlachos, A. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 10
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