Check computer science papers: citations, claims and retractions

Vision: A Critique of Immunity Passports and W3C Decentralized Identifiers

Halpin, H. (2020) · Lecture Notes in Computer Science

Blockchain Technology Applications and SecurityCOVID-19 Digital Contact Tracing

Cited by 31

Understanding Learning Dynamics Of Language Models with SVCCA

Saphra, N., & Lopez, A. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 31

Image-based Deep Reinforcement Learning for Autonomous Lunar Landing

Scorsoglio, A., Furfaro, R., Linares, R., & Gaudet, B. (2020) · AIAA Scitech 2020 Forum

Reinforcement Learning in RoboticsSpacecraft Dynamics and Control

Cited by 31

Retrieval of diagnostic and treatment studies for clinical use through PubMed and PubMed's Clinical Queries filters

Lokker, C., Haynes, R. B., Wilczynski, N. L., McKibbon, K. A., & Walter, S. D. (2011) · Journal of the American Medical Informatics Association

Information Retrieval and Search BehaviorHealth Sciences Research and Education

Cited by 31

DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction

Chen, B., Chen, T., Zeng, X., Zhang, W., Lu, Q., Hou, Z., Zhou, J., & Helal, S. (2024) · IEEE/ACM Transactions on Computational Biology and Bioinformatics

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 31

Causal Structure Learning: A Combinatorial Perspective

Squires, C., & Uhler, C. (2023) · Foundations of Computational Mathematics

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 31

NLPositionality: Characterizing Design Biases of Datasets and Models

Santy, S., Liang, J. T., Bras, R. L., Reinecke, K., & Sap, M. (2023) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 31

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Hsieh, C.-Y., Chuang, Y.-S., Li, C.-L., Wang, Z., Le, L., Kumar, A., Glass, J., Ratner, A., Lee, C.-Y., Krishna, R., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 31

Token-Budget-Aware LLM Reasoning

Han, T., Wang, Z., Fang, C., Zhao, S., Ma, S., & Chen, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Efficient fetal ultrasound image segmentation for automatic head circumference measurement using a lightweight deep convolutional neural network

Zeng, W., Luo, J., Cheng, J., & Lu, Y. (2022) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 31

CALYPSO: LLMs as Dungeon Master's Assistants

Zhu, A., Martin, L., Head, A., & Callison-Burch, C. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 31

Multimodal explainability via latent shift applied to COVID-19 stratification

Guarrasi, V., Tronchin, L., Albano, D., Faiella, E., Fazzini, D., Santucci, D., & Soda, P. (2024) · Pattern Recognition

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 31

Development, evaluation, and assessment of large language models (DEAL) checklist: a technical report

Tripathi, S., Alkhulaifat, D., Doo, F. X., Rajpurkar, P., McBeth, R., Daye, D., & Cook, T. S. (2025) · NEJM AI

Topic ModelingNatural Language Processing Techniques

Cited by 31

Personalization and probabilities: Impersonal propensities in online grocery shopping

Mackenzie, A. (2018) · Big Data & Society

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 31

Lifting Monocular Events to 3D Human Poses

Scarpellini, G., Morerio, P., & Del Bue, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Human Pose and Action RecognitionAdvanced Vision and Imaging

Cited by 31

Phi-4 Technical Report

Abdin, M., Aneja, J., Behl, H., Bubeck, S., Eldan, R., Gunasekar, S., Harrison, M., Hewett, R. J., Javaheripi, M., Kauffmann, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Inertial-Measurement-Unit-Based Novel Human Activity Recognition Algorithm Using Conformer

Kim, Y.-W., Cho, W.-H., Kim, K.-S., & Lee, S. (2022) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 31

Practical fundamental rights impact assessments

Janssen, H., Seng Ah Lee, M., & Singh, J. (2022) · International Journal of Law and Information Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 31

FogDLearner: A Deep Learning-based Cardiac Health Diagnosis Framework using Fog Computing

Iftikhar, S., Golec, M., Chowdhury, D., Gill, S. S., & Uhlig, S. (2022) · Australasian Computer Science Week 2022

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 31

An MR Remote Collaborative Platform Based on 3D CAD Models for Training in Industry

Wang, P., Bai, X., Billinghurst, M., Zhang, S., Han, D., Lv, H., He, W., Yan, Y., Zhang, X., & Min, H. (2019) · 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

Augmented Reality ApplicationsTeleoperation and Haptic Systems

Cited by 31

Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation

Prather, J., Margulieux, L., Whalley, J., Denny, P., Reeves, B. N., Becker, B. A., Singh, P., Powell, G., & Bosch, N. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 31

On the Decision Boundary of Deep Neural Networks

Li, Y., Ding, L., & Gao, X. (2018) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 31

Sentiment Bias in Predictive Text Recommendations Results in Biased Writing

Arnold, K., Chauncey, K., & Gajos, K. (2018) · Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 31

'My agent understands me better': Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents

Hou, Y., Tamoto, H., & Miyashita, H. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 31