Check computer science papers: citations, claims and retractions

Improving Method of Anomaly Detection Performance for Industrial IoT Environment

Kim, J., Shin, J., Park, K.-W., & Taek Seo, J. (2022) · Computers, Materials & Continua

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 8

Learning, Forgetting, Remembering: Insights From Tracking LLM Memorization During Training

Leybzon, D. D., & Kervadec, C. (2024) · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Topic ModelingPrivacy-Preserving Technologies in Data

Cited by 8

Automated Analysis of Preceptor Comments: A Pilot Study Using Sentiment Analysis to Identify Potential Student Issues in Experiential Education

Fuller, K., Lupton-Smith, C., Hubal, R., & McLaughlin, J. E. (2023) · American Journal of Pharmaceutical Education

Sentiment Analysis and Opinion MiningOnline Learning and Analytics

Cited by 8

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain

Goldsteen, A., Farkash, A., Moffie, M., & Shmelkin, R. (2022) · Studies in Health Technology and Informatics

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 8

Leaving the Butler Behind: The Future of Role Reproduction in CUI

McMillan, D., & Jaber, R. (2021) · CUI 2021 - 3rd Conference on Conversational User Interfaces

Speech and dialogue systemsAI in Service Interactions

Cited by 8

How Far Can We Go with Practical Function-Level Program Repair?

Xiang, J., Xu, X., Kong, F., Wu, M., Zhang, Z., Zhang, H., & Zhang, Y. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 8

Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them

Haresamudram, H., Beedu, A., Rabbi, M., Saha, S., Essa, I., & Ploetz, T. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 8

Joint Speech Recognition and Audio Captioning

Narisetty, C., Tsunoo, E., Chang, X., Kashiwagi, Y., Hentschel, M., & Watanabe, S. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 8

DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures

Seth, A., Ahuja, S., Bali, K., & Sitaram, S. (2024) · SSRN Electronic Journal

Topic ModelingEthics and Social Impacts of AI

Cited by 8

Uncertain future of privacy protection under the Korean public health emergency preparedness governance amid the COVID-19 pandemic

Kim, Y. (2022) · Cogent Social Sciences

COVID-19 Digital Contact TracingLegal, Health, Environmental and COVID-19 Challenges

Cited by 8

Evaluating Large Language Models with Psychometrics . -

Li, Y., Huang, Y., Wang, H., Cheng, Y., Zhang, X., Zou, J., & Sun, L. (2024) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 8

Optimizing LLM Queries in Relational Data Analytics Workloads

Liu, S., Biswal, A., Kamsetty, A., Cheng, A., Schroeder, L. G., Patel, L., Cao, S., Mo, X., Stoica, I., Gonzalez, J. E., et al. (2024) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 8

Optimizing Reasoning for Text-to-SQL with Execution Feedback

Zhai, B., Xu, C., He, Y., & Yao, Z. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 8

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Sokar, G., Agarwal, R., Castro, P. S., & Evci, U. (2023) · arXiv

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 8

Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles

Jain, S., Liu, G., Mueller, J., & Gifford, D. (2019) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 8

CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Wan, S., Nikolaidis, C., Song, D., Molnar, D., Crnkovich, J., Grace, J., Bhatt, M., Chennabasappa, S., Whitman, S., Ding, S., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 8

Integrating Generative AI in Software Engineering Education: Practical Strategies

Li, Y., Keung, J., & Ma, X. (2024) · 2024 International Symposium on Educational Technology (ISET)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 8

Deciphering Stereotypes in Pre-Trained Language Models

Ma, W., Scheible, H., Wang, B., Veeramachaneni, G., Chowdhary, P., Sun, A., Koulogeorge, A., Wang, L., Yang, D., & Vosoughi, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 8

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning

Samvelyan, M., Khan, A., Dennis, M., Jiang, M., Parker-Holder, J., Foerster, J., Raileanu, R., & Rocktäschel, T. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 8

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Raposo, D., Ritter, S., Richards, B., Lillicrap, T., Humphreys, P. C., & Santoro, A. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 8

RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection

Feng, Y., Zhang, Z., Quan, R., Wang, L., & Qin, J. (2023) · Proceedings of the 31st ACM International Conference on Multimedia

Human Pose and Action RecognitionVideo Analysis and Summarization

Cited by 8

Context-Aware Multimodal FIDO Authenticator for Sustainable IT Services

Kim, S.-H., Choi, D., Kim, S.-H., Cho, S., & Lim, K.-S. (2018) · Sustainability

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 8

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection

Sun, H., Cai, H., Wang, B., Hou, Y., Wei, X., Wang, S., Zhang, Y., & Yin, D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

Li, S., Park, S., Lee, I., & Bastani, O. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 8