Most cited computer science papers
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RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots
Feldman, P., Foulds, J. R., & Pan, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 30
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The politics and reciprocal (re) configuration of accountability and fairness in data-driven education
Sahlgren, O. (2023) · Learning, Media and Technology
Ethics and Social Impacts of AIDigital Education and Society
Cited by 30
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An Efficient Hardware Accelerator for Sparse Transformer Neural Networks
Fang, C., Guo, S., Wu, W., Lin, J., Wang, Z., Hsu, M. K., & Liu, L. (2022) · 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Advanced Neural Network ApplicationsEmbedded Systems Design Techniques
Cited by 30
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C4Corpus: Multilingual Web-size Corpus with Free License
Habernal, I., Zayed, O., & Gurevych, I. (2016) · Proceedings of the Language Resources and Evaluation Conference
Natural Language Processing TechniquesWeb Data Mining and Analysis
Cited by 30
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Alignment faking in large language models
Greenblatt, R., Denison, C., Wright, B., Roger, F., MacDiarmid, M., Marks, S., Treutlein, J., Belonax, T., Chen, J., Duvenaud, D., et al. (2024) · arXiv
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 30
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Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning
Qin, Y., Lee, T., Feng, S., & Kong, A. P. H. (2018) · Interspeech 2018
Speech Recognition and SynthesisVoice and Speech Disorders
Cited by 30
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ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech
Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2026) · Computer Speech & Language
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 30
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Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code
Volum, R., Rao, S., Xu, M., DesGarennes, G., Brockett, C., Van Durme, B., Deng, O., Malhotra, A., & Dolan, B. (2022) · Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)
Artificial Intelligence in GamesTopic Modeling
Cited by 30
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Learning Privately over Distributed Features: An ADMM Sharing Approach
Hu, Y., Liu, P., Kong, L., & Niu, D. (2019) · arXiv
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 30
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Rise of the Machines
Stajic, J., Stone, R., Chin, G., & Wible, B. (2015) · Science
Emotion and Mood RecognitionSocial Robot Interaction and HRI
Cited by 30
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On the Usage of Brain Atlases in Neuroimaging Research
Hess, A., Hinz, R., Keliris, G. A., & Boehm-Sturm, P. (2018) · Molecular Imaging and Biology
Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies
Cited by 30
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Instagram-Based Benchmark Dataset for Cyberbullying Detection in Arabic Text
ALBayari, R., & Abdallah, S. (2022) · Data
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 30
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DoorGym: A Scalable Door Opening Environment And Baseline Agent
Urakami, Y., Hodgkinson, A., Carlin, C., Leu, R., Rigazio, L., & Abbeel, P. (2019) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 30
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The internet and information retrieval research: a brief review
Chowdhury, G. G. (1999) · Journal of Documentation
Information Retrieval and Search BehaviorLibrary Science and Information Literacy
Cited by 30
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“A machine learning approach for graduate admission prediction,”
AlGhamdi, A., Barsheed, A., AlMshjary, H., & AlGhamdi, H. (2020) · Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing
Online Learning and AnalyticsData Mining and Machine Learning Applications
Cited by 30
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INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Wu, Y., Jiang, A. Q., Ba, J., & Grosse, R. (2020) · arXiv
AI-based Problem Solving and PlanningLogic, programming, and type systems
Cited by 30
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Unlimiformer: Long-Range Transformers with Unlimited Length Input
Bertsch, A., Alon, U., Neubig, G., & Gormley, M. R. (2023) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 30
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"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools
Park, H., Eirich, J., Luckow, A., & Sedlmair, M. (2024) · Nordic Conference on Human-Computer Interaction
Digital Media and Visual ArtInnovative Human-Technology Interaction
Cited by 30
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Enterprise-Driven Open Source Software: A Case Study on Security Automation
Angermeir, F., Voggenreiter, M., Moyon, F., & Mendez, D. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Web Application Security VulnerabilitiesSoftware Engineering Techniques and Practices
Cited by 30
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Facial expression recognition using facial characteristic points and Gini index
Perveen, N., Gupta, S., & Verma, K. (2012) · 2012 Students Conference on Engineering and Systems
Emotion and Mood RecognitionFace and Expression Recognition
Cited by 30
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Quantifying Pituitary-Adrenal Dynamics and Deconvolution of Concurrent Cortisol and Adrenocorticotropic Hormone Data by Compressed Sensing
Faghih, R. T., Dahleh, M. A., Adler, G. K., Klerman, E. B., & Brown, E. N. (2015) · IEEE Transactions on Biomedical Engineering
Sparse and Compressive Sensing TechniquesAdrenal Hormones and Disorders
Cited by 30
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Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor
Hachaj, T., & Piekarczyk, M. (2019) · Sensors
Gaze Tracking and Assistive TechnologyHand Gesture Recognition Systems
Cited by 30
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Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification
Luo, G., Dong, S., Wang, W., Wang, K., Cao, S., Tam, C., Zhang, H., Howey, J., Ohorodnyk, P., & Li, S. (2020) · Medical Image Analysis
Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics
Cited by 30
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A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
Ning, L., Liang, Z., Jiang, Z., Qu, H., Ding, Y., Fan, W., Wei, X.-Y., Lin, S., Liu, H., Yu, P. S., et al. (2025) · arXiv
Web Data Mining and AnalysisInformation Retrieval and Search Behavior
Cited by 30
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