Check computer science papers: citations, claims and retractions

The Relationship between Spatial Velocity, Vection, and Visually Induced Motion Sickness: An Experimental Study

Chen, D. J. Z., Chow, E. H. C., & So, R. H. Y. (2011) · i-Perception

Virtual Reality Applications and ImpactsVisual perception and processing mechanisms

Cited by 6

Implementation of Image Enhancement Algorithms and Recursive Ray Tracing using CUDA

Saha, M. D., Darji, M. K., Patel, N., & Thakore, D. (2016) · Procedia Computer Science

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 6

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Shi, W., Han, X., Lewis, M., Tsvetkov, Y., Zettlemoyer, L., & Yih, S. W.-T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

System log anomaly detection based on contrastive learning and retrieval augmented

Li, W., Wu, Y., Huang, W., Zhou, F., Ou, W., Wang, H., & Deng, L. (2025) · Scientific Reports

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 6

Benchmark Analysis of Deep Learning-based 3D Object Detectors on NVIDIA Jetson Platforms

Choe, M., Lee, S., Sung, N.-M., Jung, S., & Choe, C. (2021) · 2021 International Conference on Information and Communication Technology Convergence (ICTC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 6

Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE

Meitei, O. R., Gard, B. T., Barron, G. S., Pappas, D. P., Economou, S. E., Barnes, E., & Mayhall, N. J. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 6

Vision-centric Token Compression in Large Language Model

Xing, L., Wang, A. J., Yan, R., Shu, X., & Tang, J. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 6

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction

Xu, Q., Yang, Z., Jiang, Y., Cao, X., Yao, Y., & Huang, Q. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Mobile Crowdsensing and CrowdsourcingMachine Learning and Data Classification

Cited by 6

An Efficient Object Detection Algorithm Based on Compressed Networks

Li, J., Peng, K., & Chang, C.-C. (2018) · Symmetry

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation

Wang, C., Tian, K., Zhang, J., Guan, Y., Luo, F., Shen, F., Jiang, Z., Gu, Q., Han, X., & Yang, W. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 6

GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation

Ramesh, G., Dou, Y., & Xu, W. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 6

Smart Light Recommending System Using Artificial Neural Network Algorithm

Akbar, M. F., Gautama Putrada, A., & Abdurohman, M. (2019) · 2019 7th International Conference on Information and Communication Technology (ICoICT)

Context-Aware Activity Recognition SystemsIoT-based Smart Home Systems

Cited by 6

Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Pfau, J., Merrill, W., & Bowman, S. R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Feature Distribution Distillation-Based Few Shot Class Incremental Learning

Zhu, J., Yao, G., Zhou, W., Zhang, G., Ping, W., & Zhang, W. (2022) · 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 6

Sample Efficient Learning of Predictors that Complement Humans

Charusaie, M.-A., Mozannar, H., Sontag, D., & Samadi, S. (2022) · arXiv

Machine Learning and AlgorithmsAdvanced Bandit Algorithms Research

Cited by 6

Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs

Ji, T., Guo, B., Wu, Y., Guo, Q., Shenlixing, S., Chenzhan, C., Qiu, X., Zhang, Q., & Gui, T. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 6

KIVI : Plug-and-play 2bit KV Cache Quantization with Streaming Asymmetric Quantization

Liu, Z., Yuan, J., Jin, H., Zhong, S., Xu, Z., Braverman, V., Chen, B., & Hu, X. (2023) · Unpublished

Advanced Neural Network ApplicationsTopic Modeling

Cited by 6

AI red-teaming is a sociotechnical problem: on values, labor, and harms

Gillespie, T., Shaw, R., Gray, M. L., & Suh, J. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 6

Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program

Huang, X., Qiu, Y., Bao, F., Wang, J., Lin, C., Lin, Y., Wu, J., & Yang, H. (2023) · Frontiers in Public Health

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 6

TIDEs: A Transgender and Nonbinary Community-Labeled Dataset and Model for Transphobia Identification in Digital Environments

Lameiro, F., Dunagan, L., Card, D., Gilbert, E., & Haimson, O. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 6

Tool for filtering PubMed search results by sample size.

Baladrón, C., Santos-Lozano, A., Aguiar, J. M., Lucia, A., & Martín-Hernández, J. (2018) · Journal of the American Medical Informatics Association

Information Retrieval and Search BehaviorMeta-analysis and systematic reviews

Cited by 6

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework

Pradeep, R., Thakur, N., Upadhyay, S., Campos, D., Craswell, N., & Lin, J. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 6

Match Made by Humans: A Critical Enquiry into Human-Machine Configurations in Data Labelling

Chandhiramowuli, S., & Chaudhuri, B. (2023) · Proceedings of the Annual Hawaii International Conference on System Sciences

Ethics and Social Impacts of AIDigital Economy and Work Transformation

Cited by 6

Dichotomy of Control: Separating What You Can Control from What You Cannot

Yang, M., Schuurmans, D., Abbeel, P., & Nachum, O. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 6