Check computer science papers: citations, claims and retractions

Bandwidth-Optimal Random Shuffling for GPUs

Mitchell, R., Stokes, D., Frank, E., & Holmes, G. (2022) · ACM Transactions on Parallel Computing

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 6

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews

Okpala, I., Golgoon, A., & Kannan, A. R. (2025) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 6

Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging

Barlas, P., Kyriakou, K., Kleanthous, S., & Otterbacher, J. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFace recognition and analysis

Cited by 6

Using Automatic Speech Recognition to Measure the Intelligibility of Speech Synthesized From Brain Signals

Varshney, S., Farias, D., Brandman, D. M., Stavisky, S. D., & Miller, L. M. (2023) · 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 6

SafeLawBench: Towards Safe Alignment of Large Language Models

Cao, C., Zhu, H., Ji, J., Sun, Q., Zhu, Z., Yinyu, W., Dai, J., Yang, Y., Han, S., & Guo, Y. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 6

Propagating Knowledge Updates to LMs Through Distillation

Padmanabhan, S., Onoe, Y., Zhang, M., Durrett, G., & Choi, E. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 6

A novel Multi to Single Module for small object detection

Guo, X. (2023) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6

Pose Estimation based Fall Detection system using MediaPipe

Saraswat, S., & Malathi, G. (2024) · 2024 10th International Conference on Communication and Signal Processing (ICCSP)

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 6

Deep learning as a new tool in the diagnosis of mycosis fungoides

Karabulut, Y. Y., Dinç, U., Köse, E. Ç., & Türsen, Ü. (2022) · Archives of Dermatological Research

AI in cancer detectionDigital Imaging for Blood Diseases

Cited by 6

Scaling Laws for Fine-Grained Mixture of Experts

Krajewski, J., Ludziejewski, J., Adamczewski, K., Pióro, M., Krutul, M., Antoniak, S., Ciebiera, K., Król, K., Odrzygóźdź, T., Sankowski, P., et al. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 6

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool

Hu, C., Huang, H., Hu, J., Xu, J., Chen, X., Xie, T., Wang, C., Wang, S., Bao, Y., Sun, N., et al. (2024) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 6

A Novel Stitching Method for Dust and Rock Analysis Based on Yutu Rover Panoramic Imagery

Ye, B., Cai, Z., Lan, T., & Cao, W. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Satellite Image Processing and PhotogrammetryAdvanced Image Fusion Techniques

Cited by 6

Artificial intelligence for deepfake detection: systematic review and impact analysis

Sunkari, V., & Sri Nagesh, A. (2024) · IAES International Journal of Artificial Intelligence (IJ-AI)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 6

Motivations for Artificial Intelligence, for Deep Learning, for ALife: Mortality and Existential Risk

Harvey, I. (2024) · Artificial Life

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 6

Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Liu, P., Tao, Q., & Zhou, J. T. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 6

Pricing Mechanism of Non-fungible Token (NFT) Driven by Rarity Design

Xiong, W., Wang, Y., Li, W., Zhang, J., & Guo, H. (2023) · 2023 IEEE International Conference on Blockchain (Blockchain)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 6

A Visual Narrative Path from Switching to Resuming a Requirements Engineering Task

Abad, Z. S. H., Shymka, A., Le, J., Hammad, N., & Ruhe, G. (2017) · 2017 IEEE 25th International Requirements Engineering Conference (RE)

Software Engineering Techniques and PracticesData Visualization and Analytics

Cited by 6

Causal Confusion and Reward Misidentification in Preference-Based Reward Learning

Tien, J., He, J. Z.-Y., Erickson, Z., Dragan, A. D., & Brown, D. S. (2022) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 6

Challenging the Evaluator: LLM Sycophancy Under User Rebuttal

Kim, S. W., & Khashabi, D. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Ethics and Social Impacts of AISpeech and dialogue systems

Cited by 6

Use of Artificial Intelligence in the Diagnosis of Colorectal Cancer

Nduma, B. N., Nkeonye, S., Uwawah, T. D., Kaur, D., Ekhator, C., & Ambe, S. (2024) · Cureus

AI in cancer detectionColorectal Cancer Screening and Detection

Cited by 6

Creativity in LLM-based Multi-Agent Systems: A Survey

Lin, Y.-C., Chen, K.-C., Li, Z.-Y., Wu, T.-H., Wu, T.-H., Chen, K.-Y., Lee, H.-Y., & Chen, Y.-N. (2025) · arXiv

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 6

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Yan, X., Zhang, H., Cai, Y., Guo, J., Qiu, W., Gao, B., Zhou, K., Zhao, Y., Jin, H., Gao, J., et al. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 6

Using Dirichlet Marked Hawkes Processes for Insider Threat Detection

Zheng, P., Yuan, S., & Wu, X. (2022) · Digital Threats: Research and Practice

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 6

EA-FUSION: A multimodal emotion recognition model using EEG and facial expression data

Xu, C., Li, W., Li, S., Zhao, P., Xing, F., & Song, A. (2026) · Biomedical Signal Processing and Control

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 6