Check computer science papers: citations, claims and retractions

Design of a Deep Learning Model for Cyberbullying and Cyberstalking Attack Mitigation via Online Social Media Analysis

Kahate, S. A., & Raut, A. D. (2023) · 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 4

Unlocking the Interactive Office: Concurrent Prototyping Approach

Jaskiewicz, T., & van der Helm, A. (2018) · Proceedings of the 2018 Designing Interactive Systems Conference

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 4

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions,

Hasan, M. M., Li, H., Rajbahadur, G. K., Adams, B., & Hassan, A. E. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchArtificial Intelligence Applications

Cited by 4

Automatic subject indexing with large language model fine-tuning and controlled vocabulary retrieval

Luo, P., & Liu, Z. (2025) · Aslib Journal of Information Management

Topic ModelingLibrary Science and Information Systems

Cited by 4

A Cybersecurity Risk Management and Regulatory Compliance Framework for Financial Institutions

Bello, A. D., Elebe, O., Hammed, N. I., Omoegun, G. O., & Fadayomi, O. (2024) · Iconic Research and Engineering Journals

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 4

MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs

Sirdeshmukh, V., Deshpande, K., Mols, J., Jin, L., Cardona, E.-Y., Lee, D., Kritz, J., Primack, W., Yue, S., & Xing, C. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 4

Research on Microservice Anomaly Detection Technology Based on Conditional Random Field

Cao, W., Cao, Z., & Zhang, X. (2019) · Journal of Physics: Conference Series

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 4

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

Yang, J., Hou, B., Wei, W., Bao, Y., & Chang, S. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingNatural Language Processing Techniques

Cited by 4

Improving fine-grained understanding in image-text pre-training

Bica, I., Ilić, A., Bauer, M., Erdogan, G., Bošnjak, M., Kaplanis, C., Gritsenko, A. A., Minderer, M., Blundell, C., Pascanu, R., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 4

An order-aware dataflow model for parallel Unix pipelines

Handa, S., Kallas, K., Vasilakis, N., & Rinard, M. C. (2021) · Proceedings of the ACM on Programming Languages

Parallel Computing and Optimization TechniquesLogic, programming, and type systems

Cited by 4

BLEdge: Edge-Centric Programming for BLE Applications with Multi-Connection Optimization

Li, Y., Li, B., Lv, J., & Dong, W. (2024) · ACM Transactions on Sensor Networks

Bluetooth and Wireless Communication TechnologiesIoT and Edge/Fog Computing

Cited by 4

Distinguishing the Knowable from the Unknowable with Language Models

Ahdritz, G., Qin, T., Vyas, N., Barak, B., & Edelman, B. L. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 4

RISK ASSESSMENT REPORT Moltbook Platform & Moltbot Ecosystem

Riegler, M., & Gautam, S. (2026) · Zenodo

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 4

Simultaneously Optimizing Symmetry Shifts and Tensor Factorizations for Cost-Efficient Fault-Tolerant Quantum Simulations of Electronic Hamiltonians

Deka, K., & Zak, E. (2025) · Journal of Chemical Theory and Computation

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 4

Comparison of algorithms for ultrasound image segmentation without ground truth

Sikka, K., & Deserno, T. M. (2010) · SPIE Proceedings

Medical Image Segmentation TechniquesAdvanced Clustering Algorithms Research

Cited by 4

StoryWriter: A Multi-Agent Framework for Long Story Generation

Xia, H., Peng, H., Qi, Y., Xu, B., Li, J., Lei, H., & Wang, X. (2025) · Proceedings of the 34th ACM International Conference on Information and Knowledge Management

Topic ModelingArtificial Intelligence in Games

Cited by 4

Security Analysis and Bypass User Authentication Bound to Device of Windows Hello in the Wild

Kim, E., & Choi, H.-K. (2021) · Security and Communication Networks

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 4

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection

Kashyap, G. S., Siddiqui, Z. H., Azeez, M. A., Ali, R., Kumar, S., Kamuni, N., & Gao, J. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 4

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Jang, J., Yoon, D., Yang, S., Cha, S., Lee, M., Logeswaran, L., & Seo, M. (2022) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 4

Understanding image priors in blind deconvolution

Sroubek, F., Smidl, V., & Kotera, J. (2014) · 2014 IEEE International Conference on Image Processing (ICIP)

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 4

CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs

Bui, N. D. Q., Le, H., Wang, Y., Li, J., Gotmare, A. D., & Hoi, S. C. H. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 4

Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments

Hamon, G., Nisioti, E., & Moulin-Frier, C. (2023) · Proceedings of the Companion Conference on Genetic and Evolutionary Computation

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 4

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Agarwal, S., Zhang, Z., Yuan, L., Han, J., & Peng, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?

Shimabucoro, L., Hospedales, T., & Gouk, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 4