Check computer science papers: citations, claims and retractions

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Cai, S., Zhang, J., Bao, K., Gao, C., Wang, Q., Feng, F., & He, X. (2024) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 14

FairPrism: Evaluating Fairness-Related Harms in Text Generation

Fleisig, E., Amstutz, A., Atalla, C., Blodgett, S. L., Daumé III, H., Olteanu, A., Sheng, E., Vann, D., & Wallach, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Cabrera, Á. A., Epperson, W., Hohman, F., Kahng, M., Morgenstern, J., & Chau, D. H. (2019) · 2019 IEEE Conference on Visual Analytics Science and Technology (VAST)

Ethics and Social Impacts of AIData Visualization and Analytics

Cited by 14

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

Wu, Z., Geiger, A., Icard, T., Potts, C., & Goodman, N. D. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Philosophy of Biology and Scientific Explanation

Cited by 14

The Insider Threat Detection Method of University Website Clusters Based on Machine Learning

Li, Y., & Su, Y. (2023) · 2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD)

Network Security and Intrusion DetectionSoftware System Performance and Reliability

Cited by 14

Lean-STaR: Learning to Interleave Thinking and Proving

Lin, H., Sun, Z., Welleck, S., & Yang, Y. (2024) · arXiv

Logic, programming, and type systemsMathematics, Computing, and Information Processing

Cited by 14

Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Allen-Zhu, Z., & Li, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

On the improvement of foreground–background model‐based object tracker

Hanif, M. S., Ahmad, S., & Khurshid, K. (2017) · IET Computer Vision

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 14

Methodologies for continuous activity classification of user through wearable devices: Feasibility and preliminary investigation

Pietroni, F., Casaccia, S., Revel, G. M., & Scalise, L. (2016) · 2016 IEEE Sensors Applications Symposium (SAS)

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 14

On measuring and mitigating biased inferences of word embeddings

Dev, S., Li, T., Phillips, J. M., & Srikumar, V. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AITopic Modeling

Cited by 14

Bibliometric Analysis of IoT Lightweight Cryptography

Dewamuni, Z., Shanmugam, B., Azam, S., & Thennadil, S. (2023) · Information

Cryptographic Implementations and Securityscientometrics and bibliometrics research

Cited by 14

GPU-Accelerated implementation of a genetically optimized image encryption algorithm

Bharadwaj, B., Saira Banu, J., Madiajagan, M., Ghalib, M. R., Castillo, O., & Shankar, A. (2021) · Soft Computing

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 14

Message Passing for Complex Question Answering over Knowledge Graphs

Vakulenko, S., Fernandez Garcia, J. D., Polleres, A., de Rijke, M., & Cochez, M. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Topic ModelingAdvanced Graph Neural Networks

Cited by 14

Problems in comprehending recursion and suggested solutions

Sooriamurthi, R. (2001) · ACM SIGCSE Bulletin

Teaching and Learning ProgrammingLogic, programming, and type systems

Cited by 14

Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback

Lekschas, F., Ampanavos, S., Siangliulue, P., Pfister, H., & Gajos, K. Z. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignMobile Crowdsensing and Crowdsourcing

Cited by 14

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture

Han, B., & Zhang, S. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 14

How Scientists Use Large Language Models to Program

O'Brien, G. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 14

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Trivedi, H., Khot, T., Hartmann, M., Manku, R., Dong, V., Li, E., Gupta, S., Sabharwal, A., & Balasubramanian, N. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchNatural Language Processing Techniques

Cited by 14

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

Huang, X., Shen, L., Liu, J., Shang, F., Li, H., Huang, H., & Yang, Y. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 14

Measuring short-form factuality in large language models

Wei, J., Karina, N., Chung, H. W., Jiao, Y. J., Papay, S., Glaese, A., Schulman, J., & Fedus, W. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

LLMs for Explainable AI: A Comprehensive Survey

Bilal, A., Ebert, D., & Lin, B. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 14

Scalable Uncertainty for Computer Vision With Functional Variational Inference

Carvalho, E. D. C., Clark, R., Nicastro, A., & Kelly, P. H. J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Gaussian Processes and Bayesian InferenceAdvanced Neural Network Applications

Cited by 14

Harnessing wireless channels for scalable and privacy-preserving federated learning

Elgabli, A., Park, J., Issaid, C. B., & Bennis, M. (2021) · IEEE Transactions on Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 14

Deep reinforcement learning for task-based feature learning in prosthetic vision

White, J., Kameneva, T., & McCarthy, C. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Reinforcement Learning in RoboticsNeuroscience and Neural Engineering

Cited by 14