Check computer science papers: citations, claims and retractions

Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores

Chari, V., & Van Durme, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Autonomous Mission Planning for Multi-Agile Earth Observation Satellites Using Whale Optimization Algorithm

Gao, X., Zhang, H., Yu, T., Ma, G., & Gao, D. (2020) · 2020 Chinese Automation Congress (CAC)

Metaheuristic Optimization Algorithms ResearchSatellite Communication Systems

Cited by 1

Um estudo exploratório sobre o uso de LLMs como recurso para o aprendizado de fundamentos de programação

Portela, A. K. E., & Vieira, J. K. M. (2025) · Anais do XXXIII Workshop sobre Educação em Computação (WEI 2025)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 1

A Self-Supervised Framework for Laboratory Data Imputation in Electronic Health Records

Heilbroner, S. P., Carter, C., Vidmar, D. M., Mueller, E. T., Stumpe, M. C., & Miotto, R. (2025) · Communications Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 1

The Power of Docker: Containerization for Efficient Software Development and Deployment

Islavath, N. (2020) · International Journal of Science and Research (IJSR)

Cloud Computing and Resource ManagementSoftware Engineering Techniques and Practices

Cited by 1

Optimizing System Management: Innovative Approaches to Shell Scripting for Automation in Large-Scale Systems

Ranjan, M. K., Saxena, S., Gupta, R., Singh, A., Anarthe, A. S., & Anand, A. (2024) · Journal of Advances in Shell Programming

Software System Performance and ReliabilityEngineering and Information Technology

Cited by 1

Reinforcement Learning to Rank Using Coarse-grained Rewards

Tu, Y., Xu, Z., Yang, T., Su, W., Zhou, Y., Liu, Y., Lin, F., Liu, Q., & Ai, Q. (2022) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 1

Are Human-generated Demonstrations Necessary for In-context Learning?

Li, R., Wang, G., & Li, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Composer 2 Technical Report

Research, C., :, Chan, A., Shalaby, A., Wettig, A., Sanger, A., Zhai, A., Ajay, A., Nair, A., Snell, C., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

Automatically Adaptive Conformal Risk Control

Blot, V., Angelopoulos, A. N., Jordan, M. I., & Brunel, N. J.-B. (2024) · arXiv

Machine Learning and AlgorithmsAdversarial Robustness in Machine Learning

Cited by 1

Impact of Artificial Intelligence on Consumer Online Purchase Intention

Jakhodia, Y., Gupta, T., & Singh, T. (2025) · Advances in Multimedia and Interactive Technologies

AI in Service InteractionsTechnology Adoption and User Behaviour

Cited by 1

Enzyme: Incremental View Maintenance for Data Engineering

Yadav, R., Abeysinghe, S., Yang, M., Helt, J., Ung, M., Chen, Y., Hu, M., Wei, W., Yang, Y., van Bussel, T., et al. (2026) · arXiv

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 1

Colonial Pipeline: Responding to a Ransomware Attack in the Energy Sector

Janvrin, D. J., Boss, S. R., & Gray, J. (2026) · Issues in Accounting Education

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 1

Online Scheduling for LLM Inference with KV Cache Constraints

Jaillet, P., Jiang, J., Mellou, K., Molinaro, M., Podimata, C., & Zhou, Z. (2025) · arXiv

Optimization and Search ProblemsParallel Computing and Optimization Techniques

Cited by 1

Self-Admitted GenAI Usage in Open-Source Software

Xiao, T., Fan, Y., Calefato, F., Treude, C., Kula, R. G., Hata, H., & Baltes, S. (2026) · IEEE Transactions on Software Engineering

Software Engineering ResearchOpen Source Software Innovations

Cited by 1

Mittendrin oder nur dabei?: Welche Rolle spielen Bibliotheken und ihre Strategien im Gesamtkontext ihrer Träger?

Fühles-Ubach, S. (2018) · Bibliothek Forschung und Praxis

Library Science and InformationLibrary Science and Administration

Cited by 1

WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution

Tang, L., Rashtchian, C., Ferng, C.-S., Tomkins, A., Juan, D.-C., & Vu, T. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 1

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents

Jain, N., Singh, J., Shetty, M., Zheng, L., Sen, K., & Stoica, I. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 1

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models

Sun, G., Manakul, P., Liusie, A., Pipatanakul, K., Zhang, C., Woodland, P., & Gales, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop

Khalili, N., Spronck, J., Ciompi, F., van der Laak, J., & Litjens, G. (2024) · arXiv

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 1

Use of information and communication technologies (ICT) in Paraguayan university students

Ayala Servín, N., Duré, M. A., Franco, E. D., Lajarthe, A. M., López, R. D., Rolón, D. J., Urizar, C. A., & Insaurralde Alviso, A. (2021) · Anales de la Facultad de Ciencias Médicas (Asunción)

Educational Innovations and TechnologyEducation and Digital Technologies

Cited by 1

Deepfake detection across image, video, and audio: a comprehensive survey with empirical evaluation of generalization and robustness

Nguyen-Le, H.-H., Tran, V.-T., Nguyen, D.-T., & Le-Khac, N.-A. (2026) · Artificial Intelligence Review

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 1

AI-Driven Learning: Current Applications, Challenges, and Future Prospects

Ismail, I. A., Alkhateeb, M. O., & Alkaabi, M. H. (2025) · Advances in Computational Intelligence and Robotics

Artificial Intelligence in EducationEthics and Social Impacts of AI

Cited by 1

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Liu, Y., Ji, J., An, L., Jaakkola, T., Zhang, Y., & Chang, S. (2026) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1