Check computer science papers: citations, claims and retractions

Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks

Usman, Y., Upadhyay, A., Gyawali, P., & Chataut, R. (2024) · arXiv

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 2

Introducing AI to an Online Petition Platform Changed Outputs but not Outcomes

Corpus, I., Gilbert, E., Koenecke, A., & Naaman, M. (2025) · arXiv

Ethics and Social Impacts of AISocial Media and Politics

Cited by 2

Reference-Based Metrics Are Biased Against Blind and Low-Vision Users’ Image Description Preferences

Kapur, R., & Kreiss, E. (2024) · Proceedings of the Third Workshop on NLP for Positive Impact

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 2

LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference

Liu, Y., Cheng, Y., Yao, J., An, Y., Chen, X., Feng, S., Huang, Y., Shen, S., Zhang, R., Du, K., et al. (2025) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 2

CURVAS dataset

Riera-Marín, M., Kleiß, J.-M., Aubanell, A., & Antolín, A. (2024) · Zenodo

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 2

DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving

Liu, Y., Huang, Y., Yao, J., Feng, S., Gu, Z., Du, K., Li, H., Cheng, Y., Jiang, J., Lu, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Zhu, C., Simchowitz, M., Gadipudi, S., & Gupta, A. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 2

Adversarial Review: Structured Disagreement for Grounded Agentic Code Review

Qiu, E. S., & Gill, J. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 2

Real-time image encryption algorithm based on a 1D cascaded chaotic map and finite field diffusion

Wang, Q., Yang, Y., & Zhang, X. (2025) · Journal of Electronic Imaging

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 2

MASAI: Modular Architecture for Software-engineering AI Agents

Arora, D., Sonwane, A., Wadhwa, N., Mehrotra, A., Utpala, S., Bairi, R., Kanade, A., & Natarajan, N. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 2

GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models

Jassim, S., Holubar, M., Richter, A., Wolff, C., Ohmer, X., & Bruni, E. (2024) · Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 2

Lineage: A UMA2.0 Protocol Extension for Multi-Hop LLM Agent Delegation

Ştefănescu, Ş., & Aciobăniţei, I. (2026) · IEEE Access

Access Control and TrustAdvanced Authentication Protocols Security

Cited by 2

Cedar: A New Language for Expressive, Fast, Safe, and Analyzable Authorization (Extended Version)

Cutler, J. W., Disselkoen, C., Eline, A., He, S., Headley, K., Hicks, M., Hietala, K., Ioannidis, E., Kastner, J., Mamat, A., et al. (2024) · arXiv

Access Control and TrustLogic, programming, and type systems

Cited by 2

Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports

Froudakis, E., Avgetidis, A., Frankum, S. T., Perdisci, R., Antonakakis, M., & Keromytis, A. D. (2025) · 2025 IEEE Annual Computer Security Applications Conference (ACSAC)

Network Security and Intrusion DetectionAdvanced Malware Detection Techniques

Cited by 2

A Design-Based Study to Assist Claustrophobics in Overcoming Their Fears

Bhatnagar, N., & Maulik, S. (2023) · Smart innovation, systems and technologies

Innovative Human-Technology InteractionDigital Mental Health Interventions

Cited by 2

Self-Referential Introspection in Large Language Models: The Critical Threshold for Recursive Self-Improvement

Zhang, J., Yuan, B., & Zhang, Q. (2026) · Entropy

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 2

Federated Collaborative Filtering Recommendation Based on Semi-Homomorphic Encryption

Niu, X., Zhang, X., Chu, Z., & Li, X. (2023) · 2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 2

LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems

Aratchige, R. M., & Ilmini, W. M. K. S. (2025) · arXiv

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

Cited by 2

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Lù, X. H., Kasner, Z., & Reddy, S. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 2

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

Christianos, F., Papoudakis, G., Zimmer, M., Coste, T., Wu, Z., Chen, J., Khandelwal, K., Doran, J., Feng, X., Liu, J., et al. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 2

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses

Venkit, P. N., Laban, P., Zhou, Y., Mao, Y., & Wu, C.-S. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

The Bias is in the Details: An Assessment of Cognitive Bias in LLMs

Knipper, R. A., Knipper, C. S., Zhang, K., Sims, V., Bowers, C., & Karmaker, S. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 2

DilatedFormer: dilated granularity transformer network for placental maturity grading in ultrasound

Wu, Y., Yang, Y., Zhu, L., Han, Z., Luo, H., Xue, X., & Wang, W. (2023) · Frontiers in Physics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 2

Mobility functional status ascertainment in electronic health records using large language models

Liu, X., Garg, M., Jia, H., Sauver, J. S., Pagali, S. R., & Sohn, S. (2026) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 2