Check computer science papers: citations, claims and retractions

Co-creative Use of Virtual Reality in Hypnotherapy: The Example of the "Virtual Magic Glove" Application.

Garnier, P.-H. (2023) · Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops

Virtual Reality Applications and ImpactsPsychotherapy Techniques and Applications

Cited by 1

DataDecide: How to Predict Best Pretraining Data with Small Experiments

Magnusson, I., Tai, N., Bogin, B., Heineman, D., Hwang, J. D., Soldaini, L., Bhagia, A., Liu, J., Groeneveld, D., Tafjord, O., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation

Yan, K., Guo, H., Shi, X., Cao, S., Di, D., & Li, Z. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1

WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models

Ning, K., Su, Y., Lv, X., Zhang, Y., Liu, J., Liu, K., & Xu, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Evaluating the Goal-Directedness of Large Language Models

Everitt, T., Garbacea, C., Bellot, A., Richens, J., Papadatos, H., Campos, S., & Shah, R. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 1

Intelligence artificielle

Calenda (2021)

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 1

The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations

Worledge, T., Hashimoto, T., & Guestrin, C. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

Antidistillation Sampling

Savani, Y., Trockman, A., Feng, Z., Xu, Y. E., Schwarzschild, A., Robey, A., Finzi, M., & Kolter, J. Z. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 1

Carbon-Aware Scheduling of AI Data Center Workloads Using Environmental and Energy Grid Forecasts

Bhavsar, A., Sun, T., Flora, J., & Zanocco, C. (2026)

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 1

Cellular Automata Framework for Dementia Classification Using Explainable AI

Kesu, S. M. R., Sinha, N., & Ramasangu, H. (2024) · ITISE 2024

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 1

Artificial Intelligence-Powered Personalized Web Services Composition

Chebbi, I., Abidi, S., & Ayed, L. B. (2024) · Journal of Mathematical & Computer Applications

Service-Oriented Architecture and Web ServicesRecommender Systems and Techniques

Cited by 1

When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review

Zhu, C., Xiong, J., Ma, R., Lu, Z., Liu, Y., & Li, L. (2025) · arXiv

Ethics and Social Impacts of AIAcademic Writing and Publishing

Cited by 1

MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

Tai, Y.-S., An-Yeu, & Wu (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1

Aprendendo a Voar (e a Programar): Um Relato de Experiência sobre o Ensino de Programação Esportiva com o Uso de Metodologias Ativas e Gamificação

Alves, M. R., Santana, T. S. D., & Braga, A. H. (2026) · Anais do VI Simpósio Brasileiro de Educação em Computação (EDUCOMP 2026)

Teaching and Learning ProgrammingEducational Games and Gamification

Cited by 1

3D Medical Images Registration Based on GPU Parallel Computing

Meng, L. (2012) · Applied Mechanics and Materials

Medical Image Segmentation TechniquesParallel Computing and Optimization Techniques

Cited by 1

Multimodal Deep Learning Model for Prediction of Prognosis in Central Nervous System Inflammation

Choi, B. K., Choi, Y., Jang, S., Ha, W.-S., Cho, S., Chang, K., Sohn, B., Kim, K. M., & Park, Y. R. (2025) · Brain Communications

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 1

Evaluating the Use of Reconstruction Error for Novelty Localization

Feeney, P., & Hughes, M. C. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsVisual Attention and Saliency Detection

Cited by 1

Smaller Large Language Models Can Do Moral Self-Correction

Liu, G., Xue, Z., Zhang, X., Wang, R., & Johnson, K. M. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 1

Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems

Baum, K., & Laux, J. (2026) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 1

Blockchain-Backed ML-Based Zero-Trust Honeypot for Forensic-Ready Cyber-Physical System Security in Industry X

Sayduzzaman, M., & Nawab, M. H. (2025) · Journal of Computational Science and Applications

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 1

Caption Alignment and Structure-Aware Attention for Scientific Table-to-Text Generation

Wu, J., Karlsson, B. F., & Okumura, M. (2024) · IEEE Access

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

RiemannFormer: A Framework for Attention in Curved Spaces

Ji, Z. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 1

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs

Cai, W., Shi, T., Zhao, X., & Song, D. (2025) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 1

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models

Padlewski, P., Bain, M., Henderson, M., Zhu, Z., Relan, N., Pham, H., Ong, D., Aleksiev, K., Ormazabal, A., Phua, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1