Check computer science papers: citations, claims and retractions

RewardBench: Evaluating Reward Models for Language Modeling

Lambert, N., Pyatkin, V., Morrison, J., Miranda, L., Lin, B. Y., Chandu, K., Dziri, N., Kumar, S., Zick, T., Choi, Y., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 5

Towards a Unified Secure Cloud Service Development and Deployment Life-Cycle

Hudic, A., Flittner, M., Lorunser, T., Radl, P. M., & Bless, R. (2016) · 2016 11th International Conference on Availability, Reliability and Security (ARES)

Software Engineering Techniques and PracticesCloud Data Security Solutions

Cited by 5

On the Relationship between Program Evolution and Fault-Proneness: An Empirical Study

Jaafar, F., Hassaine, S., Gueheneuc, Y., Hamel, S., & Adams, B. (2013) · 2013 17th European Conference on Software Maintenance and Reengineering

Software Engineering ResearchSoftware Reliability and Analysis Research

Cited by 5

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Choi, K., Lee, H., Kwon, D., Park, S., Kim, K., Park, N., Choi, J., & Lee, J. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

A Privacy-Preserving Crowd Flow Prediction Framework Based on Federated Learning during Epidemics

Wang, W., Yang, G., Bao, L., Ma, K., & Zhou, H. (2022) · Security and Communication Networks

Privacy-Preserving Technologies in DataHuman Mobility and Location-Based Analysis

Cited by 5

Cascaded Multiplierless Realizations of Low Sensitivities Allpass based Fractional Delay Filters

Ivanova, K. S., Anzova, V. I., & Stoyanov, G. K. (2006) · TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design

Cited by 5

A Preliminary Analysis of Self-Supervision for Wireless Capsule Endoscopy

Vats, A., Pedersen, M., & Mohammed, A. (2021) · 2021 9th European Workshop on Visual Information Processing (EUVIP)

Domain Adaptation and Few-Shot LearningGastrointestinal Bleeding Diagnosis and Treatment

Cited by 5

Multiple Cues-Based Robust Visual Object Tracking Method

Khan, B., Jalil, A., Ali, A., Alkhaledi, K., Mehmood, K., Cheema, K. M., Murad, M., Tariq, H., & El-Sherbeeny, A. M. (2022) · Electronics

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 5

Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Deng, H., & Raffel, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 5

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression

Burgert, T., Stoll, O., Rota, P., & Demir, B. (2025) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges

Motger, Q., Oriol, M., Marco, J., & Franch, X. (2026) · arXiv

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

Cited by 5

Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records

Wang, L., Novoa-Laurentiev, J., Cook, C., Srivatsan, S., Hua, Y., Yang, J., Miloslavsky, E., Choi, H. K., Zhou, L., & Wallace, Z. S. (2025) · International Journal of Medical Informatics

Machine Learning in HealthcareVasculitis and related conditions

Cited by 5

XAI for medicine by ChatGPT code interpreter

Kitamura, K., Irvan, M., & Shigetomi Yamaguchi, R. (2023) · Proceedings of the 2023 5th International Conference on Big-data Service and Intelligent Computation

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 5

Advanced deep learning architectures for accurate detection of subsurface tile drainage pipes from remote sensing images

Breitkopf, T.-L., Hackel, L., Ravanbakhsh, M., Cooke, A.-K., Willkommen, S., Broda, S., & Demir, B. (2022) · Image and Signal Processing for Remote Sensing XXVIII

Remote-Sensing Image ClassificationAutomated Road and Building Extraction

Cited by 5

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs

Zhou, X., Wang, W., Zeng, M., Guo, J., Liu, X., Shen, L., Zhang, M., & Ding, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Migration From DevOps to DevSecOps: A Complete Migration Framework, Challenges, and Evaluation

N., N. T., & Khandebharad, A. (2021) · International Journal of Cloud Applications and Computing

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 5

Erratum to “Performance of gender detection tools: a comparative study of name-to-gender inference services,” 2021;109(3):414–21 and “Using genderize.io to infer the gender of first names: how to improve the accuracy of the inference,” 2021;109(4):609–12.

Sebo, P. (2022) · Journal of the Medical Library Association

Data Quality and ManagementAuthorship Attribution and Profiling

Cited by 5

A Multi-Agent Conversational Recommender System

Fang, J., Gao, S., Ren, P., Chen, X., Verberne, S., & Ren, Z. (2024) · arXiv

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 5

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

Choi, J.-W., Yoon, Y., Ong, H., Kim, J., & Jang, M. (2024) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 5

Quantum Optimization Benchmarking Library - The Intractable Decathlon

Koch, T., Neira, D. E. B., Chen, Y., Cortiana, G., Egger, D. J., Heese, R., Hegade, N. N., Cadavid, A. G., Huang, R., Itoko, T., et al. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 5

Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future

Raza, S., Qureshi, R., Zahid, A., Muneer, A., Zafar, A., Kamawal, S., Sadak, F., Fioresi, J., Saeed, M., Sapkota, R., et al. (2025) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 5

Cipher image damage and decisions in real time

Silva-García, V. M., Flores-Carapia, R., Rentería-Márquez, C., Luna-Benoso, B., Jiménez-Vázquez, C. A., & González-Ramírez, M. D. (2015) · Journal of Electronic Imaging

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 5

RSL-SQL: Robust Schema Linking in Text-to-SQL Generation

Cao, Z., Zheng, Y., Fan, Z., Zhang, X., Chen, W., & Bai, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Artificial Intelligence in Education: Bridging Technology and Pedagogy for Student-Centered Outcomes

Malik, S., Naz, L., Ghafoor, D. H., Sohail, Z., & Shaheen, D. R. (2025) · The Critical Review of Social Sciences Studies

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 5