Check computer science papers: citations, claims and retractions

Artificial Democratic Life. Re-engineering the autonomy of the social, a research program

Barandiaran, X. E. (2019) · The 2019 Conference on Artificial Life

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 2

Understanding the Ethical Implications of Generative AI: A Multi-Disciplinary Perspective

Singh, G., Srivastava, V., Kumar, S., Bhatnagar, V., & Dhondiyal, S. A. (2024) · 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC)

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2

Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models

Ivanova, A. A., Sathe, A., Lipkin, B., Kumar, U., Radkani, S., Clark, T. H., Kauf, C., Hu, J., Pramod, R. T., Grand, G., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2

Creating a Responsible AI Framework for Cultural Validity: Exploring Heritage Futures with an Ovahimba Indigenous Community of Namibia

Auala, S., Mbinge, U., Ndjao, L., van Niekerk, K. C., Nathingo, N., Nehoya, R., Smith, R. C., Rodil, K., Kapuire, G. K., Maasz, D., et al. (2025) · Proceedings of the Fifth Biennial African Human-Computer Interaction Conference

Ethics and Social Impacts of AIDigital Media and Visual Art

Cited by 2

RFUniverse: A Multiphysics Simulation Platform for Embodied AI

Fu, H., Xu, W., Ye, R., Xue, H., Yu, Z., Tang, T., Li, Y., Du, W., Zhang, J., & Lu, C. (2022) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 2

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Hong, Y., Sun, R., Li, B., Yao, X., Wu, M., Chien, A., Yin, D., Wu, Y. N., Wang, Z. J., & Chang, K.-W. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 2

UbiLearn: Supporting English-as-a-Foreign-Language Learners in Reflecting on Conversations Using a Smartwatch MHCI033

Arakawa, R., Nakagawa, M., & Yakura, H. (2025) · Proceedings of the ACM on Human-Computer Interaction

Mobile Learning in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 2

Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks

Kim, J., Yang, N., & Jung, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Yen, H., Gao, T., Hou, M., Ding, K., Fleischer, D., Izsak, P., Wasserblat, M., & Chen, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Energy-aware dynamic digital twin placement in mobile edge computing

Hematyar, M., & Movahedi, Z. (2023) · 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)

IoT and Edge/Fog ComputingDigital Transformation in Industry

Cited by 2

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection

Sinaei, S., Mohammadi, M., Shrestha, R., Alibeigi, M., & Eklund, D. (2024) · 2024 27th Euromicro Conference on Digital System Design (DSD)

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 2

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks

Shen, G., Zhao, D., Feng, L., He, X., Wang, J., Shen, S., Tong, H., Dong, Y., Li, J., Zheng, X., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2

AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization

Cemri, M., Agrawal, S., Gupta, A., Liu, S., Cheng, A., Mang, Q., Naren, A., Erdogan, L. E., Sen, K., Zaharia, M., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 2

Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Cao, Y., Kang, Y., Wang, C., & Sun, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Prabhakar, A., Liu, Z., Zhu, M., Zhang, J., Awalgaonkar, T., Wang, S., Liu, Z., Chen, H., Hoang, T., Niebles, J. C., et al. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 2

Photonic cellular automaton simulation of relativistic quantum fields: Observation of Zitterbewegung

Suprano, A., Zia, D., Polino, E., Poderini, D., Carvacho, G., Sciarrino, F., Lugli, M., Bisio, A., & Perinotti, P. (2024) · Physical Review Research

Quantum Computing Algorithms and ArchitectureCellular Automata and Applications

Cited by 2

Radiology Report Generation via Self‐Critical Multisource Knowledge Reasoning With Large Language Models

Allaberdiev, S., Chen, X., Mamatov, D., Abdusalomov, A., Ubaydullaev, U., & Khan, A. (2026) · IET Software

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 2

Novelty Detection in Reinforcement Learning with World Models

Zollicoffer, G., Eaton, K., Balloch, J., Kim, J., Zhou, W., Wright, R., & Riedl, M. O. (2023) · arXiv

Reinforcement Learning in RoboticsAnomaly Detection Techniques and Applications

Cited by 2

Graph-Based Anomaly Detection in Industrial Control Systems

Balaba, S., Chernyshov, Y., Skorohodov, A., & Komarov, D. (2025) · 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 2

Protecting the Cyberphysical System Against Intrusion Dection

Sharma, P. (2023) · 2023 2nd International Conference on Futuristic Technologies (INCOFT)

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 2

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Ahmad, W. U., Narenthiran, S., Majumdar, S., Ficek, A., Jain, S., Huang, J., Noroozi, V., & Ginsburg, B. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 2

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis

Wei, A., Suresh, T., Cao, J., Kannan, N., Wu, Y., Yan, K., Teixeira, T. S. F. X., Wang, K., & Aiken, A. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2

Adaptive Fake Audio Detection with Low-Rank Model Squeezing

Zhang, X., Yi, J., Tao, J., Wang, C., Xu, L., & Fu, R. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 2

Enhancement of quantum annealing via n-local catalysts

Ghosh, R., Nutricati, L. A., Feinstein, N., Warburton, P. A., & Bose, S. (2024) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2