Check computer science papers: citations, claims and retractions

Annotated Corpus of Arabic Al-Quran Question and Answer

Alqahtani, M., & Atwell, E. (2018) · University of Leeds

Natural Language Processing TechniquesTopic Modeling

Cited by 5

Understanding Emergent Abilities of Language Models from the Loss Perspective

Du, Z., Zeng, A., Dong, Y., & Tang, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Assessing the impact of safety guardrails on large language models using irritability metrics

Teferra, B. G., Johny, N., Huang, S., Rueda, A., Kamaleddin, M. A., Dunlop, K., Zhang, Y., Jha, M., Sharma, D., & Bhat, V. (2026) · npj Digital Medicine

Ethics and Social Impacts of AIEmotion and Mood Recognition

Cited by 5

Weight-based Decomposition: A Case for Bilinear MLPs

Pearce, M. T., Dooms, T., & Rigg, A. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 4

AI4Research: a survey of artificial intelligence for scientific research

Chen, Q., Yang, M., Qin, L., Liu, J., Yan, Z., Guan, J., Peng, D., Ji, Y., Li, H., Hu, M., et al. (2026) · Science China Information Sciences

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 4

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition

Zuo, S., Rey, V. F., Suh, S., Sigg, S., & Lukowicz, P. (2023) · arXiv

Context-Aware Activity Recognition SystemsImbalanced Data Classification Techniques

Cited by 4

Contextualized Programming Language Documentation

Potter, H., Madadi, A., Just, R., & Omar, C. (2022) · Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software

Teaching and Learning ProgrammingLogic, programming, and type systems

Cited by 4

Anomaly detection and root-cause identification in microservices: a survey

Barata, L. M., Sequeira, S., Lopes, E., Inácio, P. R. M., & Freire, M. M. (2026) · Cluster Computing

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 4

Trust, credibility, and transparency in human -AI interaction: Why we need explainable and trustworthy AI and why we need it now

Bozkurt, A., & Ramesh C., S. (2024) · Asian Journal of Distance Education

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

Cited by 4

The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets

Zhu, S., Sun, J., Nian, Y., South, T., Pentland, A., & Pei, J. (2025) · arXiv

Multi-Agent Systems and NegotiationAI in Service Interactions

Cited by 4

Fighting COVID-19 and helping economy reopen by using blockchain technology

Xin, W. (2020) · 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Blockchain Technology Applications and SecurityCOVID-19 Digital Contact Tracing

Cited by 4

Artificial intelligence to support public sector decision-making: the emergence of entangled accountability

Gualdi, F., & Cordella, A. (2024) · Research Handbook on Artificial Intelligence and Decision Making in Organizations

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 4

Al-Jawaab at Qur’an QA 2023 Shared Task: Exploring Embeddings and GPT Models for Passage Retrieval and Reading Comprehension

Zekiye, A., & Amroush, F. (2023) · Proceedings of ArabicNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

Anchor Points: Benchmarking Models with Much Fewer Examples

Vivek, R., Ethayarajh, K., Yang, D., & Kiela, D. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

Accurate KV Cache Quantization with Outlier Tokens Tracing

Su, Y., Zhou, Y., Qiu, Q., Li, J., Xia, Q., Li, P., Duan, X., Wang, Z., & Zhang, M. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 4

AIDE: AI-Driven Exploration in the Space of Code

Jiang, Z., Schmidt, D., Srikanth, D., Xu, D., Kaplan, I., Jacenko, D., & Wu, Y. (2025) · arXiv

Software Engineering ResearchMachine Learning and Data Classification

Cited by 4

Mitigating Hallucination in Large Language Models: A Capability-Oriented Survey on RAG, Reasoning, and Agentic Systems

Li, Y., Fu, X., Verma, G., Buitelaar, P., & Liu, M. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 4

CNN-LSTM-Based Insider Threat Detection Model

Yang, M., Yi, J., Zhu, H., & Tan, L. (2025) · 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 4

Securing the Cognitive Layer: A Survey on Security Threats, Defenses, and Privacy-Preserving Architectures for LLM-IoT Integration

Joshi, A., & Baidya, S. (2026) · Journal of Cybersecurity and Privacy

Adversarial Robustness in Machine LearningIoT and Edge/Fog Computing

Cited by 4

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression

Saxena, U., Saha, G., Choudhary, S., & Roy, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

MEMORYLLM: Towards Self-Updatable Large Language Models

Wang, Y., Gao, Y., Chen, X., Jiang, H., Li, S., Yang, J., Yin, Q., Li, Z., Li, X., Yin, B., et al. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Yue, Y., Kang, B., Xu, Z., Huang, G., & Yan, S. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 4

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models

Overman, W., & Bayati, M. (2025) · Advances in Neural Information Processing Systems 38

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 4

Lightweight Multimodal Emotion Recognition for Companion Robots: A Deep Learning Framework Integrating Facial and Speech Features

Lu, C.-K., Lu, C.-W., & Bo Lin, G. (2026) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 4