Check computer science papers: citations, claims and retractions

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt

Wang, Z., Nagaraja, N., Zhang, L., Bahsi, H., Patil, P., & Liu, P. (2025) · 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 13

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

Chen, J., Yoon, J., Ebrahimi, S., Arik, S., Pfister, T., & Jha, S. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 13

A Comparative Study on the Suitability of Smartphones and IMU for Mobile, Unsupervised Energy Expenditure Calculi

Ruiz-Zafra, A., Orantes-González, E., Noguera, M., Benghazi, K., & Heredia-Jimenez, J. (2015) · Sensors

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 13

BizBench: A Quantitative Reasoning Benchmark for Business and Finance

Krumdick, M., Koncel-Kedziorski, R., Lai, V. D., Reddy, V., Lovering, C., & Tanner, C. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 13

TabArena: A Living Benchmark for Machine Learning on Tabular Data

Erickson, N., Purucker, L., Tschalzev, A., Holzmüller, D., Desai, P. M., Salinas, D., & Hutter, F. (2025) · arXiv

Machine Learning and Data ClassificationData Mining and Machine Learning Applications

Cited by 13

Causal analysis of network logs with layered protocols and topology knowledge

Kobayashi, S., Otomo, K., & Fukuda, K. (2019) · 2019 15th International Conference on Network and Service Management (CNSM)

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 13

Capability Coordination in Modular Organization: Voluntary Fs/Oss Production and the Case of Debian Gnu/Linux

Garzarelli, G., & Galoppini, R. (2003) · SSRN Electronic Journal

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 13

Detecting IoT Malware with Knowledge Distillation Technique

Jones, R., & Omar, M. (2023) · 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)

Advanced Malware Detection TechniquesNetwork Security and Intrusion Detection

Cited by 13

Deep Semi-Supervised Learning

Hailat, Z., Komarichev, A., & Chen, X.-W. (2018) · 2018 24th International Conference on Pattern Recognition (ICPR)

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 13

Automatic Deictic Gestures for Animated Pedagogical Agents

Kappagantula, S. R. K., Adamo-Villani, N., Wu, M.-L., & Popescu, V. (2020) · IEEE Transactions on Learning Technologies

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 13

On multi-device use: Using technological modality profiles to explain differences in students' learning

Sher, V., Hatala, M., & Gašević, D. (2019) · Proceedings of the 9th International Conference on Learning Analytics & Knowledge

Online Learning and AnalyticsOnline and Blended Learning

Cited by 13

Automatic identification of upper extremity rehabilitation exercise type and dose using body-worn sensors and machine learning: A pilot study

Balestra, N., Sharma, G., Riek, L. M., & Busza, A. (2021) · Digital Biomarkers

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 13

Explore the Effects of Emoticons on Twitter Sentiment Analysis

Wegrzyn-Wolska, K., Bougueroua, L., Yu, H., & Zhong, J. (2016) · Computer Science & Information Technology ( CS & IT )

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 13

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Jin, B., Zeng, H., Yue, Z., Yoon, J., Arik, S., Wang, D., Zamani, H., & Han, J. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 13

The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review

Moulaei, K., Moulaei, R., & Bahaadinbeigy, K. (2024) · DIGITAL HEALTH

Usability and User Interface DesignSocial Robot Interaction and HRI

Cited by 13

Building Your Own Product Copilot: Challenges, Opportunities, and Needs

Parnin, C., Soares, G., Pandita, R., Gulwani, S., Rich, J., & Henley, A. Z. (2023) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 13

Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

Fox, G., van der Werff, L., Rosati, P., & Lynn, T. (2024) · JMIR mHealth and uHealth

COVID-19 Digital Contact TracingPrivacy, Security, and Data Protection

Cited by 13

Debating with More Persuasive LLMs Leads to More Truthful Answers

Khan, A., Hughes, J., Valentine, D., Ruis, L., Sachan, K., Radhakrishnan, A., Grefenstette, E., Bowman, S. R., Rocktäschel, T., & Perez, E. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Real Time Monitoring for the Most Vulnerable: UNICEF's Experience in Uganda

Cummins, M., & Huddleston, B. (2013) · IDS Bulletin

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 13

RAG-Based AI Agents for Enterprise Software Development: Implementation Patterns and Production Deployment

Zhao, X., Sun, T., Ren, S., Yang, J., & Liu, Y. (2025) · Frontiers in Artificial Intelligence Research

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 13

Rapid patient-specific neural networks for intraoperative X-ray to volume registration

Gopalakrishnan, V., Chlorogiannis, D.-D., Abumoussa, A., Larson, A. M., Haouchine, N., Orbach, D. B., Frisken, S., Dey, N., & Golland, P. (2025) · arXiv

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 13

Augmented Reality and Student Motivation: A Systematic Review (2013-2024)

Zuo, R., Wenling, L., & Xuemei, Z. (2025) · Journal of Computers for Science and Mathematics Learning

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 13

The 2017 DAVIS Challenge on Video Object Segmentation

Pont-Tuset, J., Perazzi, F., Caelles, S., Arbeláez, P., Sorkine-Hornung, A., & Van Gool, L. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 13

AI-Generated Code Not Considered Harmful

Kendon, T., Wu, L., & Aycock, J. (2023) · Proceedings of the 25th Western Canadian Conference on Computing Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 13