Check computer science papers: citations, claims and retractions

Art or Artifice? Large Language Models and the False Promise of Creativity

Chakrabarty, T., Laban, P., Agarwal, D., Muresan, S., & Wu, C.-S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Topic ModelingCreativity in Education and Neuroscience

Cited by 135

Language Primitives and Type Discipline for Structured Communication-Based Programming Revisited: Two Systems for Higher-Order Session Communication

Yoshida, N., & Vasconcelos, V. T. (2007) · Electronic Notes in Theoretical Computer Science

Logic, programming, and type systemsDistributed systems and fault tolerance

Cited by 135

‘Why do white people have thin lips?’ Google and the perpetuation of stereotypes via auto-complete search forms

Baker, P., & Potts, A. (2013) · Critical Discourse Studies

Ethics and Social Impacts of AIMedia Discourse and Social Analysis

Cited by 135

On Learning Invariant Representation for Domain Adaptation

Zhao, H., Combes, R. T. D., Zhang, K., & Gordon, G. J. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 134

A Systematic Assessment of Syntactic Generalization in Neural Language Models

Hu, J., Gauthier, J., Qian, P., Wilcox, E., & Levy, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 134

High-Fidelity Image Generation With Fewer Labels

Lucic, M., Tschannen, M., Ritter, M., Zhai, X., Bachem, O., & Gelly, S. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 134

Insider Threat Detection Based on User Behavior Modeling and Anomaly Detection Algorithms

Kim, J., Park, M., Kim, H., Cho, S., & Kang, P. (2019) · Applied Sciences

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 134

Mind2Web: Towards a Generalist Agent for the Web

Deng, X., Gu, Y., Zheng, B., Chen, S., Stevens, S., Wang, B., Sun, H., & Su, Y. (2023) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 134

A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare

Saxena, D., Badillo-Urquiola, K., Wisniewski, P. J., & Guha, S. (2021) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 134

Deriving genomic diagnoses without revealing patient genomes

Jagadeesh, K. A., Wu, D. J., Birgmeier, J. A., Boneh, D., & Bejerano, G. (2017) · Science

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 134

Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs

Boshmaf, Y., Logothetis, D., Siganos, G., Leria, J., Lorenzo, J., Ripeanu, M., & Beznosov, K. (2015) · Proceedings 2015 Network and Distributed System Security Symposium

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 134

DeepEdgeBench: Benchmarking deep neural networks on edge devices

Baller, S. P., Jindal, A., Chadha, M., & Gerndt, M. (2021) · 2021 IEEE International Conference on Cloud Engineering (IC2E)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 134

Transcending the self in immersive virtual reality

Slater, M., & Sanchez-Vives, M. V. (2014) · Computer

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 134

SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks

Faraone, J., Fraser, N., Blott, M., & Leong, P. H. W. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 134

Improving alignment of dialogue agents via targeted human judgements

Glaese, A., McAleese, N., Trębacz, M., Aslanides, J., Firoiu, V., Ewalds, T., Rauh, M., Weidinger, L., Chadwick, M., Thacker, P., et al. (2022) · arXiv

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 134

Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN)

Myint Oo, M., Kamolphiwong, S., Kamolphiwong, T., & Vasupongayya, S. (2019) · Journal of Computer Networks and Communications

Network Security and Intrusion DetectionSoftware-Defined Networks and 5G

Cited by 134

Object displays do not always support better integrated task performance

Sanderson, P. M., Flach, J. M., Buttigieg, M. A., & Casey, E. J. (1989) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Data Visualization and AnalyticsHuman-Automation Interaction and Safety

Cited by 134

Siamese transformer network for hyperspectral image target detection

Rao, W., Gao, L., Qu, Y., Sun, X., Zhang, B., & Chanussot, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationInfrared Target Detection Methodologies

Cited by 134

The adoption and continued usage intention of RFID: an integrated framework

Alamgir Hossain, M., & Quaddus, M. (2011) · Information Technology & People

RFID technology advancementsTechnology Adoption and User Behaviour

Cited by 134

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Li, D., Sun, R., Huang, Y., Zhong, M., Jiang, B., Han, J., Zhang, X., Wang, W., & Liu, H. (2025) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 134

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Wang, Y., Xu, Y., Yang, J., Wu, M., Li, X., Xie, L., & Chen, Z. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 134

Virtual reality exposure therapy for the treatment of anxiety disorders: An evaluation of research quality

McCann, R. A., Armstrong, C. M., Skopp, N. A., Edwards-Stewart, A., Smolenski, D. J., June, J. D., Metzger-Abamukong, M., & Reger, G. M. (2014) · Journal of Anxiety Disorders

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 134

Multivariate pattern classification reveals autonomic and experiential representations of discrete emotions.

Kragel, P. A., & LaBar, K. S. (2013) · Emotion

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 134

Z-Inspection ® : A Process to Assess Trustworthy AI

Zicari, R. V., Brodersen, J., Brusseau, J., Dudder, B., Eichhorn, T., Ivanov, T., Kararigas, G., Kringen, P., McCullough, M., Moslein, F., et al. (2021) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 134