Check computer science papers: citations, claims and retractions

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

Guo, Z., Cheng, S., Wang, H., Liang, S., Qin, Y., Li, P., Liu, Z., Sun, M., & Liu, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

Quality-Focused Internet of Things Data Management: A Survey, Perspectives, Open Issues, and Challenges

Abdalzaher, M. S., Krichen, M., Shaaban, M. F., & Fouda, M. M. (2025) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 22

Eagilla: An Enhanced Mobile Agent Middleware for Wireless Sensor Networks

Lingaraj, K., Biradar, R. V., & Patil, V. C. (2018) · Alexandria Engineering Journal

Mobile Agent-Based Network ManagementEnergy Efficient Wireless Sensor Networks

Cited by 22

Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor

Ali, S. M., Arjunan, S. P., Peter, J., Perju-Dumbrava, L., Ding, C., Eller, M., Raghav, S., Kempster, P., Motin, M. A., Radcliffe, P. J., et al. (2024) · IEEE Journal of Translational Engineering in Health and Medicine

Context-Aware Activity Recognition SystemsDeep Brain Stimulation and Movement Disorders

Cited by 22

HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation

Yokoyama, N., Ramrakhya, R., Das, A., Batra, D., & Ha, S. (2024) · 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 22

A Hybrid Explainable AI Framework Applied to Global and Local Facial Expression Recognition

Deramgozin, M., Jovanovic, S., Rabah, H., & Ramzan, N. (2021) · 2021 IEEE International Conference on Imaging Systems and Techniques (IST)

Explainable Artificial Intelligence (XAI)Emotion and Mood Recognition

Cited by 22

On the Detection of Shilling Attacks in Federated Collaborative Filtering

Jiang, Y., Zhou, Y., Wu, D., Li, C., & Wang, Y. (2020) · 2020 International Symposium on Reliable Distributed Systems (SRDS)

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 22

A Close Look into the Calibration of Pre-trained Language Models

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 22

A framework to mitigate social engineering through social media within the enterprise

Wilcox, H., & Bhattacharya, M. (2016) · 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)

Information and Cyber SecuritySpam and Phishing Detection

Cited by 22

An Investigation of Critical Issues in Bias Mitigation Techniques

Shrestha, R., Kafle, K., & Kanan, C. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Ethics and Social Impacts of AIDomain Adaptation and Few-Shot Learning

Cited by 22

Interactive emotional content communications system using portable wireless biofeedback device

Kim, D., Kim, J., Lee, E., Whang, M., & Cho, Y. (2011) · IEEE Transactions on Consumer Electronics

Emotion and Mood RecognitionInnovative Human-Technology Interaction

Cited by 22

Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Huang, S., Mamidanna, S., Jangam, S., Zhou, Y., & Gilpin, L. H. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 22

Particle swarm optimization based load balancing in cloud computing

Acharya, J., Mehta, M., & Saini, B. (2016) · 2016 International Conference on Communication and Electronics Systems (ICCES)

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 22

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning

Jain, S., Cretu, A.-M., & de Montjoye, Y.-A. (2021) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 21

Error correction of voicemail transcripts in SCANMail

Burke, M., Amento, B., & Isenhour, P. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignSpeech Recognition and Synthesis

Cited by 21

I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions

Rothmeier, T., Wachtel, D., von Dem Bussche-Hünnefeld, T., & Huber, W. (2023) · 2023 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 21

Modern Question Answering Datasets and Benchmarks: A Survey

Wang, Z. (2022) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 21

Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion

Minervini, P., Fanizzi, N., d'Amato, C., & Esposito, F. (2015) · 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)

Advanced Graph Neural NetworksTopic Modeling

Cited by 21

Automatic Identification of Decisions from the Hibernate Developer Mailing List

Li, X., Liang, P., & Li, Z. (2020) · Proceedings of the Evaluation and Assessment in Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 21

Automatic recognition of self-reported and perceived emotion: does joint modeling help?

Zhang, B., Essl, G., & Mower Provost, E. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 21

Mental health professionals’ attitudes towards virtual reality therapies: a systematic review

Bin, S., Alrashdi, D. H., Whitehead, T., Riches, S., & Drini, E. (2025) · Journal of Technology in Behavioral Science

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 21

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Ren, R., Wang, Y., Qu, Y., Zhao, W. X., Liu, J., Tian, H., Wu, H., Wen, J.-R., & Wang, H. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 21

VeriPlan: Integrating Formal Verification and LLMs into End-User Planning

Lee, C. P., Porfirio, D., Wang, X. J., Zhao, K. C., & Mutlu, B. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

AI-based Problem Solving and PlanningFormal Methods in Verification

Cited by 21

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Lu, T., Gao, M., Yu, K., Byerly, A., & Khashabi, D. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 21