Check computer science papers: citations, claims and retractions

Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue

Min, S. Y., Zhu, H., Salakhutdinov, R., & Bisk, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 5

A Simple Ladder Realization of Maximally Flat Allpass Fractional Delay Filters

Koshita, S., Abe, M., & Kawamata, M. (2014) · IEEE Transactions on Circuits and Systems II: Express Briefs

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design

Cited by 5

Towards Activity-Aware Tool Support for Change Tasks

Kevic, K., & Fritz, T. (2017) · 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 5

Integrating Content Authenticity with DASH Video Streaming

Petrangeli, S., Wang, H., Fisher, M., Kozma, D., Mahamli, M., Blumenthal, P., & Parsons, A. (2024) · Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ

Digital Rights Management and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 5

LUMEN: Enhancing IoT System Observability with Multi-Agent Large Language Models and Knowledge Graphs

Nedisan Videsjorden, A., Song, H., Goknil, A., Roman, D., & Soylu, A. (2026) · ACM Transactions on Internet of Things

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 5

Performance Implications of Pipelining the Data Transfer in CPU-GPU Heterogeneous Systems

Li, R., Hanindhito, B., Yadav, S., Wu, Q., Kavi, K., Mehta, G., Yadwadkar, N. J., & John, L. K. (2025) · ACM Transactions on Architecture and Code Optimization

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 5

Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts

Chen, H., & Goldfarb-Tarrant, S. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance

Choudhary, N., Rao, N., Subbian, K., & Reddy, C. K. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Information Retrieval and Search BehaviorTopic Modeling

Cited by 5

Subtree Replacement in Decision Tree Simplification

Ruggieri, S. (2012) · Proceedings of the 2012 SIAM International Conference on Data Mining

Data Mining Algorithms and ApplicationsMachine Learning and Data Classification

Cited by 5

L’italiano delle intelligenze artificiali generative

Cicero, F. (2023) · Italiano LinguaDue

Speech and dialogue systemsLinguistic research and analysis

Cited by 5

Wirelessly Powered Federated Edge Learning

Zeng, Q., Du, Y., & Huang, K. (2021) · 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 5

Task Structure, Individual Bounded Rationality and Crowdsourcing Performance: An Agent-Based Simulation Approach

Yan, J., Liu, R., & Zhang, G. (2018) · Journal of Artificial Societies and Social Simulation

Mobile Crowdsensing and CrowdsourcingOpen Source Software Innovations

Cited by 5

Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling

Wunderlich, F. V., Kaesberg, L. B., Wahle, J. P., Ruas, T., & Gipp, B. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 5

Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework

Zhu, Y., Xie, J., & Chen, Z. (2020) · arXiv

Recommender Systems and TechniquesMultimodal Machine Learning Applications

Cited by 5

A Descriptive Review of Image Datasets for Accessible Alternative Descriptions in STEM Domains

Cardia, M., Buzzi, M., Galesi, G., & Leporini, B. (2025) · Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter

Multimodal Machine Learning ApplicationsDigital Accessibility for Disabilities

Cited by 5

Using Machine Learning to detect abnormalities on Modbus/TCP Networks

Sekaran, Y., Debnath, T., Assadi, T. A., Suvvari, S. D., & Oswal, S. (2022) · Proceedings of the 4th International Conference on Information Management & Machine Intelligence

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 5

Emerging roles and responsibilities of libraries in support of reproducible research

Schmidt, B., Chiarelli, A., Loffreda, L., & Sondervan, J. (2024) · LIBER Quarterly: The Journal of the Association of European Research Libraries

Research Data Management PracticesLibrary Science and Information

Cited by 5

Uncovering mesa-optimization algorithms in Transformers

von Oswald, J., Schlegel, M., Meulemans, A., Kobayashi, S., Niklasson, E., Zucchet, N., Scherrer, N., Miller, N., Sandler, M., Arcas, B. A. Y., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5

A Feasibility and Implementation Integrity Study of the Community Builder (CoBi): An AI-based Collaboration Support System in K-12 Classrooms

Breideband, T., Bush, J. B., Reitman, J. G., Rose, S., Weatherley, J., Penuel, W. R., & D’Mello, S. K. (2025) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 5

Analysis of RSA and Shor’s algorithm for cryptography: A quantum perspective

Kute, S., Desai, C., & Jadhav, M. (2024) · AIP Conference Proceedings

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 5

Immersive VR as a Promising Technology for Computer-Supported Mindfulness

De Paolis, L. T., Arpaia, P., D’Errico, G., Gatto, C., Moccaldi, N., & Nuccetelli, F. (2021) · Lecture notes in computer science

Virtual Reality Applications and ImpactsMindfulness and Compassion Interventions

Cited by 5

Online Unsupervised Learning For Domain Shift In Covid-19 CT Scan Datasets

Ewen, N., & Khan, N. (2021) · 2021 IEEE International Conference on Autonomous Systems (ICAS)

Domain Adaptation and Few-Shot LearningCOVID-19 diagnosis using AI

Cited by 5

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories

Zhu, M., Tian, Y., Chen, H., Zhou, C., Guo, Q., Liu, Y., Yang, M., & Shen, C. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 5

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

Ruan, J., Xu, Z., Peng, Y., Ren, F., Yu, Z., Liang, X., Xiang, J., Chen, Y., Liu, B., Wu, C., et al. (2026) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 5