Check computer science papers: citations, claims and retractions

An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education

De Oliveira, T. N., Bernardini, F., & Viterbo, J. (2021) · 2021 IEEE Frontiers in Education Conference (FIE)

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 8

EventRAG: Enhancing LLM Generation with Event Knowledge Graphs

Yang, Z., Wang, Y., Shi, Z., Yao, Y., Liang, L., Ding, K., Yilmaz, E., Chen, H., & Zhang, Q. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

tinyBenchmarks: evaluating LLMs with fewer examples

Polo, F. M., Weber, L., Choshen, L., Sun, Y., Xu, G., & Yurochkin, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

On the Cluster Admission Problem for Cloud Computing

Dierks, L., Kash, I., & Seuken, S. (2019) · Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 8

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Ishibashi, Y., & Nishimura, Y. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 8

CLadder: Assessing Causal Reasoning in Language Models

Jin, Z., Chen, Y., Leeb, F., Gresele, L., Kamal, O., Lyu, Z., Blin, K., Adauto, F. G., Kleiman-Weiner, M., Sachan, M., et al. (2023) · arXiv

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 8

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

Sun, Z., Du, X., Song, F., Wang, S., Ni, M., Li, L., & Lo, D. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 8

QCI Qbsolv Delivers Strong Classical Performance for Quantum-Ready Formulation

Booth, M., Berwald, J., Chukwu, U., Dawson, J., Dridi, R., Le, D., Wainger, M., & Reinhardt, S. P. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research

Cited by 8

Agentic AI for IT and Beyond: A Qualitative Analysis of Capabilities, Challenges, and Governance

Allam, H., & Dempere, J. (2025) · The Artificial Intelligence Business Review

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 8

Multi-Agent Collaboration via Evolving Orchestration

Dang, Y., Qian, C., Luo, X., Fan, J., Xie, Z., Shi, R., Chen, W., Yang, C., Che, X., Tian, Y., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 8

Neuro-Symbolic World Models for Adapting to Open World Novelty

Balloch, J., Lin, Z., Wright, R., Peng, X., Hussain, M., Srinivas, A., Kim, J., & Riedl, M. O. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 8

The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences

Chaspari, T., Soldatos, C., & Maragos, P. (2015) · The World Journal of Biological Psychiatry

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 8

Taken out of context: On measuring situational awareness in LLMs

Berglund, L., Stickland, A. C., Balesni, M., Kaufmann, M., Tong, M., Korbak, T., Kokotajlo, D., & Evans, O. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 8

Formulation of the Social Workers’ Problem in Quadratic Unconstrained Binary Optimization Form and Solve It on a Quantum Computer

Adelomou, A. P., Ribé, E. G., & Cardona, X. V. (2020) · Journal of Computer and Communications

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 8

A Secure Cloud-Edge Collaborative Logistic Regression Model

Wang, C., Xu, J., & Yin, L. (2021) · 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 8

Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines

Sawhney, R., Goyal, M., Goel, P., Mathur, P., & Shah, R. R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 8

Estimating Labeling Quality with Deep Object Detectors

Haase-Schütz, C., Hertlein, H., & Wiesbeck, W. (2019) · 2019 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 8

Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World

Bassani, H. F., Delgado, R. A., Junior, J. N. D. O. L., Medeiros, H. R., Braga, P. H. M., & Tapp, A. (2020) · arXiv

Reinforcement Learning in RoboticsEducational Robotics and Engineering

Cited by 8

Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation

Moorthy, U. M. K., Muthukumaran, A. M. J., Kaliyaperumal, V., Jayakumar, S., & Vijayaraghavan, K. A. (2025) · Explainable Artificial Intelligence in the Healthcare Industry

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 8

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen

Moreira, C., Palatkina, A., Braca, D., Walsh, D. M., Leihn, P. J., Chen, F., & Hubig, N. C. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 8

Parkinson's Tremor Onset Detection and Active Tremor Classification Using a Multilayer Perceptron

Ibrahim, A., Zhou, Y., Jenkins, M. E., Naish, M. D., & Trejos, A. L. (2020) · 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

Context-Aware Activity Recognition SystemsDeep Brain Stimulation and Movement Disorders

Cited by 8

Large language models and the problem of rhetorical debt

MacArthur, M. (2025) · AI & SOCIETY

Ethics and Social Impacts of AIDigital Humanities and Scholarship

Cited by 8

Privacy preserving collaborative filtering by distributed mediation

Ben Horin, A., & Tassa, T. (2021) · Fifteenth ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 8

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents

Gan, Y., Yang, Y., Ma, Z., He, P., Zeng, R., Wang, Y., Li, Q., Zhou, C., Li, S., Wang, T., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 8