Check computer science papers: citations, claims and retractions

On Construction of Low-Density Parity-Check Codes for Ultra-Reliable and Low Latency Communications

Zou, L., Yan, H., Dong, J., Li, Y., Chen, P., & Lau, F. C. M. (2024) · IEEE Transactions on Communications

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 12

LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead

He, J., Shi, J., Zhuo, T. Y., Treude, C., Sun, J., Du, X., Xing, Z., & Lo, D. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 12

Impact of conditional modelling for a universal autoregressive quantum state

Bortone, M., Rath, Y., & Booth, G. H. (2024) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 12

s1: Simple test-time scaling

Muennighoff, N., Yang, Z., Shi, W., Li, X. L., Fei-Fei, L., Hajishirzi, H., Zettlemoyer, L., Liang, P., Candès, E., & Hashimoto, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

An Overview of Deepfake: The Sword of Damocles in AI

Tong, X., Wang, L., Pan, X., & Wang, J. G. (2020) · 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 12

Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence

Baker, S., & Xiang, W. (2023) · arXiv

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

Cited by 12

Test Automation Process Improvement in a DevOps Team: Experience Report

Wang, Y., Pyhajarvi, M., & Mantyla, M. V. (2020) · 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)

Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques

Cited by 12

Zitterbewegung, Bloch Oscillations and Landau-Zener Tunneling in a Quantum Walk

Regensburger, A., Bersch, C., Hinrichs, B., Onishchukov, G., Schreiber, A., Silberhorn, C., & Peschel, U. (2011) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 12

On the effects of cognitive mobility prediction in wireless multi-hop ad hoc networks

Mezzavilla, M., Quer, G., & Zorzi, M. (2014) · 2014 IEEE International Conference on Communications (ICC)

Network Traffic and Congestion ControlMobile Ad Hoc Networks

Cited by 12

Automatic ultrasound assessment of placenta previa during the third trimester for rural areas

Saavedra, A. C., Arroyo, J., Tamayo, L., Egoavil, M., Ramos, B., & Castaneda, B. (2020) · 2020 IEEE International Ultrasonics Symposium (IUS)

Medical Image Segmentation TechniquesMaternal and fetal healthcare

Cited by 12

SedarEval: Automated Evaluation using Self-Adaptive Rubrics

Fan, Z., Wang, W., W, X., & Zhang, D. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 12

Data Security for Connected Governments and Organisations: Managing Automation and Artificial Intelligence

Susanto, H., Yie, L. F., Rosiyadi, D., Basuki, A. I., & Setiana, D. (2021) · Advances in Electronic Government, Digital Divide, and Regional Development

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 12

Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems

Shi, T., Li, L., Lin, Z., Yang, T., Quan, X., & Wang, Q. (2023) · arXiv

Speech and dialogue systemsInformation Retrieval and Search Behavior

Cited by 12

EducaTableware: Sound Emitting Tableware for Encouraging Dietary Education

Kadomura, A., Tsukada, K., & Siio, I. (2014) · Journal of Information Processing

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 12

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Ma, S., Xu, C., Jiang, X., Li, M., Qu, H., Yang, C., Mao, J., & Guo, J. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 12

Speech2Action: Cross-Modal Supervision for Action Recognition

Nagrani, A., Sun, C., Ross, D., Sukthankar, R., Schmid, C., & Zisserman, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 12

SimPO: Simple Preference Optimization with a Reference-Free Reward

Meng, Y., Xia, M., & Chen, D. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 12

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models

Zhang, H., Edelman, B. L., Francati, D., Venturi, D., Ateniese, G., & Barak, B. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 12

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

Shaw, P., Joshi, M., Cohan, J., Berant, J., Pasupat, P., Hu, H., Khandelwal, U., Lee, K., & Toutanova, K. N. (2023) · Advances in Neural Information Processing Systems 36

Usability and User Interface DesignWeb Data Mining and Analysis

Cited by 12

DeepFake Detection Algorithms: A Meta-Analysis

Zotov, S., Dremliuga, R., Borshevnikov, A., & Krivosheeva, K. (2020) · 2020 2nd Symposium on Signal Processing Systems

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 12

Synthetic Returns for Long-Term Credit Assignment

Raposo, D., Ritter, S., Santoro, A., Wayne, G., Weber, T., Botvinick, M., van Hasselt, H., & Song, F. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 12

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

Han, H., Ma, L., Wang, Y., Shomer, H., Guo, K., Lei, Y., Qi, Z., Hua, Z., Long, B., Liu, H., et al. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Topic ModelingInformation Retrieval and Search Behavior

Cited by 12

Learning to Plan and Generate Text with Citations

Fierro, C., Amplayo, R. K., Huot, F., De Cao, N., Maynez, J., Narayan, S., & Lapata, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education

Kumar, N. A., & Lan, A. (2024) · arXiv

Teaching and Learning ProgrammingSoftware Testing and Debugging Techniques

Cited by 12