Check computer science papers: citations, claims and retractions

Why Do Multi-Agent LLM Systems Fail?

Cemri, M., Pan, M. Z., Yang, S., Agrawal, L. A., Chopra, B., Tiwari, R., Keutzer, K., Parameswaran, A., Klein, D., Ramchandran, K., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 630

Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines

He, L., Li, J., Liu, C., & Li, S. (2018) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationAdvanced Image Fusion Techniques

Cited by 630

FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

Liu, C., He, L., Xiong, G., Cao, Z., & Li, Z. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Internet Traffic Analysis and Secure E-votingWireless Signal Modulation Classification

Cited by 630

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

Antoniadi, A. M., Du, Y., Guendouz, Y., Wei, L., Mazo, C., Becker, B. A., & Mooney, C. (2021) · Applied Sciences

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 629

Quantum search by local adiabatic evolution

Roland, J., & Cerf, N. J. (2002) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 629

Zero-Shot Learning via Semantic Similarity Embedding

Zhang, Z., & Saligrama, V. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 629

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Carlini, N., Liu, C., Erlingsson, Ú., Kos, J., & Song, D. (2018) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 629

A Survey of Methods for Explaining Black Box Models

Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., & Pedreschi, D. (2019) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 629

An exploratory study of the pull-based software development model

Gousios, G., Pinzger, M., & Deursen, A. V. (2014) · Proceedings of the 36th International Conference on Software Engineering

Open Source Software InnovationsSoftware Engineering Research

Cited by 628

Learning Sparse Neural Networks through $L_0$ Regularization

Louizos, C., Welling, M., & Kingma, D. P. (2017) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 628

Maintaining mental models: a study of developer work habits

LaToza, T. D., Venolia, G., & DeLine, R. (2006) · Proceedings of the 28th international conference on Software engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 628

Delta: A Measure of Stylistic Difference and a Guide to Likely Authorship

Burrows, J. (2002) · Literary and Linguistic Computing

Authorship Attribution and ProfilingDigital Humanities and Scholarship

Cited by 627

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Skrede, O.-J., De Raedt, S., Kleppe, A., Hveem, T. S., Liestøl, K., Maddison, J., Askautrud, H. A., Pradhan, M., Nesheim, J. A., Albregtsen, F., et al. (2020) · The Lancet

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 627

A view of the parallel computing landscape

Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., et al. (2009) · Communications of the ACM

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 627

One billion word benchmark for measuring progress in statistical language modeling

Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., & Robinson, T. (2014) · Interspeech 2014

Speech Recognition and SynthesisNatural Language Processing Techniques

Cited by 627

Before we knew it: an empirical study of zero-day attacks in the real world

Bilge, L., & Dumitraş, T. (2012) · Proceedings of the 2012 ACM conference on Computer and communications security

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 627

A blockchain-based framework for data sharing with fine-grained access control in decentralized storage systems

Wang, S., Zhang, Y., & Zhang, Y. (2018) · IEEE Access

Blockchain Technology Applications and SecurityCloud Data Security Solutions

Cited by 627

Boundary Organizations: Enabling Collaboration among Unexpected Allies

O'Mahony, S., & Bechky, B. A. (2008) · Administrative Science Quarterly

Open Source Software InnovationsManagement and Organizational Studies

Cited by 626

word2vec Parameter Learning Explained

Rong, X. (2014) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 626

Privacy-preserving k -means clustering over vertically partitioned data

Vaidya, J., & Clifton, C. (2003) · Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 626

Unity: A General Platform for Intelligent Agents

Juliani, A., Berges, V.-P., Teng, E., Cohen, A., Harper, J., Elion, C., Goy, C., Gao, Y., Henry, H., Mattar, M., et al. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 626

Modeling Multiple Time Series with Applications

Tiao, G. C., & Box, G. E. P. (1981) · Journal of the American Statistical Association

Time Series Analysis and ForecastingStatistical and numerical algorithms

Cited by 626

Emerging challenges in AI and the need for AI ethics education

Borenstein, J., & Howard, A. (2021) · AI and Ethics

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 626

Neural signatures of body ownership: a sensory network for bodily self-consciousness

Tsakiris, M., Hesse, M. D., Boy, C., Haggard, P., & Fink, G. R. (2007) · Cerebral Cortex

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 625