Check computer science papers: citations, claims and retractions

Transformer-Patcher: One Mistake worth One Neuron

Huang, Z., Shen, Y., Zhang, X., Zhou, J., Rong, W., & Xiong, Z. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 14

Hybrid Bernoulli Filtering for Detection and Tracking of Anomalous Path Deviations

Forti, N., Millefiori, L. M., & Braca, P. (2018) · 2018 21st International Conference on Information Fusion (FUSION)

Target Tracking and Data Fusion in Sensor NetworksAnomaly Detection Techniques and Applications

Cited by 14

Trace-based Intelligent Fault Diagnosis for Microservices with Deep Learning

Chen, H., Wei, K., Li, A., Wang, T., & Zhang, W. (2021) · 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 14

How annotation styles influence content and preferences

Cheng, J., & Cosley, D. (2013) · Proceedings of the 24th ACM Conference on Hypertext and Social Media

Image Retrieval and Classification TechniquesInformation Retrieval and Search Behavior

Cited by 14

LLexus: an AI agent system for incident management

Las-Casas, P., Kumbhare, A. G., Fonseca, R., & Agarwal, S. (2024) · ACM SIGOPS Operating Systems Review

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 14

Development and evaluation of nursing clinical practice education using m-learning.

Kim, S., & Im, M. (2024) · Healthcare

Mobile Learning in EducationInnovations in Medical Education

Cited by 14

Detecting Cyber Bullying on Twitter using Support Vector Machine

Dedeepya, P., Sowmya, P., Saketh, T. D., Sruthi, P., Abhijit, P., & Praveen, S. P. (2023) · 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 14

Creating and evaluating MARC 21 bibliographic records using ChatGPT

Taniguchi, S. (2024) · Cataloging & Classification Quarterly

Library Science and Information SystemsLibrary Science and Information

Cited by 14

Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning

Yuan, Y., Liang, W., Ding, H., Liang, Z., Zhang, C., & Hu, H. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 14

Data Quality: A Negotiator between Paper-based and Digital Records in the Pakistan’s TB Control Program

Ali, S. M., Naureen, F., Noor, A., N. Boulos, M. K., Aamir, J., Ishaq, M., Anjum, N., Ainsworth, J., Rashid, A., Majidulla, A., et al. (2018) · Data

Data Quality and ManagementMedical Coding and Health Information

Cited by 14

Quantum-Dot Cellular Automata: Theory and Application

Qadir, F., Ahmad, P. Z., Wani, S. J., & Peer, M. A. (2013) · 2013 International Conference on Machine Intelligence and Research Advancement

Cellular Automata and ApplicationsQuantum-Dot Cellular Automata

Cited by 13

PAC Reinforcement Learning with Rich Observations

Krishnamurthy, A., Agarwal, A., & Langford, J. (2016) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 13

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

Tsoukalas, G., Lee, J., Jennings, J., Xin, J., Ding, M., Jennings, M., Thakur, A., & Chaudhuri, S. (2024) · Advances in Neural Information Processing Systems 37

Mathematics, Computing, and Information ProcessingLogic, Reasoning, and Knowledge

Cited by 13

Design and Performance Evaluation of Containerized Microservices on Edge Gateway in Mobile IoT

Gaur, A. S., Budakoti, J., & Lung, C.-H. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 13

Project Silica: Towards Sustainable Cloud Archival Storage in Glass

Anderson, P., Aranas, E., Assaf, Y., Behrendt, R., Black, R., Caballero, M., Cameron, P., Canakci, B., Chatzieleftheriou, A., Clarke, R., et al. (2025) · ACM Transactions on Storage

Advanced Data Storage TechnologiesCloud Computing and Resource Management

Cited by 13

Quantum circuits for the realization of equivalent forms of one-dimensional discrete-time quantum walks on near-term quantum hardware

Singh, S., Alderete, C. H., Balu, R., Monroe, C., Linke, N. M., & Chandrashekar, C. M. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 13

Composition Theorems for Interactive Differential Privacy

Lyu, X. (2022) · Advances in Neural Information Processing Systems 35

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 13

Adjusting the Future of Adaptive Learning Technologies via a SWOT Analysis

Daugherty, K., Morse, R., Schmauder, A. R., Hoshaw, J., & Taylor, J. (2022) · Intersection: A Journal at the Intersection of Assessment and Learning

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 13

Reliability of SSDs in Enterprise Storage Systems: A Large-Scale Field Study

Maneas, S., Mahdaviani, K., Emami, T., & Schroeder, B. (2021) · ACM Transactions on Storage

Advanced Data Storage TechnologiesReliability and Maintenance Optimization

Cited by 13

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them

Ravichander, A., Ghela, S., Wadden, D., & Choi, Y. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 13

Living Literature Reviews

Wijkstra, M., Lek, T., Kuhn, T., Welbers, K., & Steijaert, M. (2021) · Proceedings of the 11th Knowledge Capture Conference

Semantic Web and OntologiesLibrary Science and Information Systems

Cited by 13

POPGym: Benchmarking Partially Observable Reinforcement Learning

Morad, S., Kortvelesy, R., Bettini, M., Liwicki, S., & Prorok, A. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 13

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Dziri, N., Milton, S., Yu, M., Zaiane, O., & Reddy, S. (2022) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 13

Primacy Effect of ChatGPT

Wang, Y., Cai, Y., Chen, M., Liang, Y., & Hooi, B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13