Check computer science papers: citations, claims and retractions

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

Vashurin, R., Fadeeva, E., Vazhentsev, A., Rvanova, L., Vasilev, D., Tsvigun, A., Petrakov, S., Xing, R., Sadallah, A., Grishchenkov, K., et al. (2025) · Transactions of the Association for Computational Linguistics

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 21

Fast approximate computations with Cauchy matrices and polynomials

Pan, V. (2017) · Mathematics of Computation

Matrix Theory and AlgorithmsPolynomial and algebraic computation

Cited by 21

Do-Not-Answer: Evaluating Safeguards in LLMs

Wang, Y., Li, H., Han, X., Nakov, P., & Baldwin, T. (2024) · Findings of the Association for Computational Linguistics: EACL 2024

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 21

Optimizing computational resources for edge intelligence through model cascade strategies

Gomez-Carmona, O., Casado-Mansilla, D., Lopez-de-Ipina, D., & Garcia-Zubia, J. (2022) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 21

A Trust and Explainable Federated Deep Learning Framework in Zero Touch B5G Networks

Ben Saad, S., Brik, B., & Ksentini, A. (2022) · GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Explainable Artificial Intelligence (XAI)Software-Defined Networks and 5G

Cited by 21

LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition

Liu, F., Shen, S.-Y., Fu, Z.-W., Wang, H.-Y., Zhou, A.-M., & Qi, J.-Y. (2022) · Entropy

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 21

Chain-of-event: interpretable root cause analysis for microservices through automatically learning weighted event causal graph

Yao, Z., Pei, C., Chen, W., Wang, H., Su, L., Jiang, H., Xie, Z., Nie, X., & Pei, D. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 21

Self-Verification Improves Few-Shot Clinical Information Extraction

Gero, Z., Singh, C., Cheng, H., Naumann, T., Galley, M., Gao, J., & Poon, H. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 21

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

Liu, T., Zheng, X., Chang, B., & Sui, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingMultimodal Machine Learning Applications

Cited by 21

Hidden Persuaders: LLMs’ Political Leaning and Their Influence on Voters

Potter, Y., Lai, S., Kim, J., Evans, J., & Song, D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AISocial Media and Politics

Cited by 21

AI-enabled remote and objective quantification of stress at scale

Al-Jebrni, A. H., Chwyl, B., Wang, X. Y., Wong, A., & Saab, B. J. (2020) · Biomedical Signal Processing and Control

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 21

Practicality analysis of utilizing text-based CAPTCHA vs. graphic-based CAPTCHA authentication

Gutub, A., & Kheshaifaty, N. (2023) · Multimedia Tools and Applications

User Authentication and Security SystemsSpam and Phishing Detection

Cited by 21

Does the NIS implementation strategy effectively address cyber security risks in the UK?

Shukla, M., Johnson, S. D., & Jones, P. (2019) · 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 21

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Cho, C. J., Wu, P., Mohamed, A., & Anumanchipalli, G. K. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 21

Removal of adherent noises from image sequences by spatio-temporal image processing

Yamashita, A., Fukuchi, I., Kaneko, T., & Miura, K. T. (2008) · 2008 IEEE International Conference on Robotics and Automation

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 21

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation

Agarwal, S., Sundaresan, S., Mitra, S., Mahapatra, D., Gupta, A., Sharma, R., Kapu, N. J., Yu, T., & Saini, S. (2025) · arXiv

Topic ModelingParallel Computing and Optimization Techniques

Cited by 21

Critical Analysis of Learning Algorithms in Random Neural Network Based Cognitive Engine for LTE Systems

Adeel, A., Larijani, H., Javed, A., & Ahmadinia, A. (2015) · 2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

Cognitive Radio Networks and Spectrum SensingAdvanced Wireless Network Optimization

Cited by 21

Insider Threat Detection Using An Unsupervised Learning Method: COPOD

Sun, X., Wang, Y., & Shi, Z. (2021) · 2021 International Conference on Communications, Information System and Computer Engineering (CISCE)

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 21

Using touchscreen interaction data to predict cognitive workload

Mock, P., Gerjets, P., Tibus, M., Trautwein, U., Möller, K., & Rosenstiel, W. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 21

Federated Face Recognition

Bai, F., Wu, J., Shen, P., Li, S., & Zhou, S. (2021) · arXiv

Privacy-Preserving Technologies in DataFace recognition and analysis

Cited by 21

Monitoring AI Services for Misuse

Javadi, S. A., Norval, C., Cloete, R., & Singh, J. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 21

Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach

Zhang, T., Liu, H., Tao, J., Wang, Y., Yu, M., Chen, H., & Yu, G. (2023) · Mathematics

Online Learning and AnalyticsPrivacy-Preserving Technologies in Data

Cited by 21

GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

Chen, Y., Kang, H., Zhai, V., Li, L., Singh, R., & Raj, B. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 21

Effects of virtual reality on psychophysical measures of pain: superiority to imagination and nonimmersive conditions

Tesarz, J., Herpel, C., Meischner, M., Drusko, A., Friederich, H.-C., Flor, H., & Reichert, J. (2024) · Pain

Virtual Reality Applications and ImpactsPain Management and Treatment

Cited by 21