Check computer science papers: citations, claims and retractions

MedShift: identifying shift data for medical dataset curation

Guo, X., Gichoya, J. W., Trivedi, H., Purkayastha, S., & Banerjee, I. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 2

Benchmarking Predictive Coding Networks - Made Simple

Pinchetti, L., Qi, C., Lokshyn, O., Olivers, G., Emde, C., Tang, M., M'Charrak, A., Frieder, S., Menzat, B., Bogacz, R., et al. (2024) · arXiv

Neural Networks and ApplicationsAdvanced Memory and Neural Computing

Cited by 2

Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis

Li, Y., Wu, X., Yang, P., Jiang, G., & Luo, Y. (2022) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2

Sabotage Evaluations for Frontier Models

Benton, J., Wagner, M., Christiansen, E., Anil, C., Perez, E., Srivastav, J., Durmus, E., Ganguli, D., Kravec, S., Shlegeris, B., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 2

ROBOT ARM PERCEPTIVE EXPLORATION BASED SIGNIFICANT SLAM IN SEARCH AND RESCUE ENVIRONMENT

Wang, H., Zhang, C., Song, Y., & Pang, B. (2018) · International Journal of Robotics and Automation

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 2

A survey on neuro-mimetic deep learning via predictive coding

Salvatori, T., Mali, A., Buckley, C. L., Lukasiewicz, T., Rao, R. P. N., Friston, K., & Ororbia, A. (2026) · Neural Networks

Neural Networks and ApplicationsEmbodied and Extended Cognition

Cited by 2

Mitigating LLM Hallucinations via Conformal Abstention

Yadkori, Y. A., Kuzborskij, I., Stutz, D., György, A., Fisch, A., Doucet, A., Beloshapka, I., Weng, W.-H., Yang, Y.-Y., Szepesvári, C., et al. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 2

MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models

Gao, X., Xie, S., Zhai, J., Ma, S., & Shen, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

VCF: A Real-World Video Conference Deepfake Benchmark for Face-Swap Detection and Robustness Evaluation

Krasilnikov, M., Nikitin, M., & Konushin, A. (2025) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Digital Media Forensic DetectionFace recognition and analysis

Cited by 2

Distilling Reasoning Ability from Large Language Models with Adaptive Thinking

Chen, X., Zhou, S., Liang, K., & Liu, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization

Gan, Y., Chen, X., & Purver, M. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought

Man, Y., Huang, D.-A., Liu, G., Sheng, S., Liu, S., Gui, L.-Y., Kautz, J., Wang, Y.-X., & Yu, Z. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 2

Semantic Privacy-Preserving for Video Surveillance Services on the Edge

Huang, A. Y. C., Chen, Y., Huang, D., & Zhao, M. (2023) · Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 2

Reward Model Ensembles Help Mitigate Overoptimization

Coste, T., Anwar, U., Kirk, R., & Krueger, D. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 2

Efficient Sparsely Activated Transformers

Latifi, S., Muralidharan, S., & Garland, M. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 2

Distilling System 2 into System 1

Yu, P., Xu, J., Weston, J., & Kulikov, I. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Sarkar, R., Sarrafzadeh, B., Chandrasekaran, N., Rangan, N., Resnik, P., Yang, L., & Jauhar, S. K. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 2

Conformal confidence sets for biomedical image segmentation

Davenport, S. (2024) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 2

Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition

Calatrava-Nicolás, F. M., Miyauchi, S., Rey, V. F., Lukowicz, P., Stoyanov, T., & Mozos, O. M. (2025) · 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 2

AI & Copyright: A Case Study of the Music Industry

Shroff, L. (2024) · GRACE: Global Review of AI Community Ethics

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 2

SoK: Agentic Skills - Beyond Tool Use in LLM Agents

Jiang, Y., Li, D., Deng, H., Ma, B., Wang, X., Wang, Q., & Yu, G. (2026) · arXiv

Adversarial Robustness in Machine LearningAI-based Problem Solving and Planning

Cited by 2

Advanced Techniques in Shell Scripting

Jain, M. (2018) · Beginning Modern Unix

Engineering and Information TechnologyTeaching and Learning Programming

Cited by 2

Gouvernance algorithmique, intelligence artificielle, enjeux, éthique : esquisse d’une analyse critique

Poussart, D. (2021) · Éthique publique

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 2

Blind Deconvolution with Non-local Similarity and $l_0$ Sparsity for Noisy Image

Ren, W., Tian, J., & Tang, Y. (2016) · IEEE Signal Processing Letters

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 2