Check computer science papers: citations, claims and retractions

Generalizing Verifiable Instruction Following

Pyatkin, V., Malik, S., Graf, V., Ivison, H., Huang, S., Dasigi, P., Lambert, N., & Hajishirzi, H. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 4

Information Retrieval in the Age of Generative AI: A Mismatch That Matters

Zhang, A. (2025) · Legal Reference Services Quarterly

Information Retrieval and Search BehaviorArtificial Intelligence in Law

Cited by 4

A Model for Understanding Project Requirements based on CMMI Specifications

Odeh, A., El-Hassan, A., Keshta, I., & AlHajahjeh, T. (2021) · 2021 International Conference on Engineering and Emerging Technologies (ICEET)

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 4

Are Your LLMs Capable of Stable Reasoning?

Liu, J., Liu, H., Xiao, L., Wang, Z., Liu, K., Gao, S., Zhang, W., Zhang, S., & Chen, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Pose-aware Large Language Model Interface for Providing Feedback to Sign Language Learners

Knapp, V., & Bohacek, M. (2024) · The 26th International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 4

YOLO-IOD: Towards Real Time Incremental Object Detection

Zhang, S., Lv, X., Xing, Y., Wu, Q., Xu, D., Zhao, C., & Zhang, Y. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference

Liu, X., Tang, Z., Dong, P., Li, Z., Liu, Y., Li, B., Hu, X., & Chu, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization

Ma, Y.-F., Du, Y., & Li, M. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 4

Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving

Guntz, T., Balzarini, R., Vaufreydaz, D., & Crowley, J. L. (2017) · arXiv

Emotion and Mood RecognitionGaze Tracking and Assistive Technology

Cited by 4

Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Yehudai, A., Carmeli, B., Mass, Y., Arviv, O., Mills, N., Toledo, A., Shnarch, E., & Choshen, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Facial Expression Recognition: A Survey of Techniques, Datasets, and Real-World Challenges

Abdeldayem, M., Hamed, H. F. A., & Nagy, A. M. (2025) · Statistics, Optimization & Information Computing

Emotion and Mood RecognitionFace recognition and analysis

Cited by 4

Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption

Alfassi, R., Cooper, A., Mitchell, Z., Calabro, M., Shaer, O., & Mokryn, O. (2026) · International Journal of Human–Computer Interaction

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 4

QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead

Zandieh, A., Daliri, M., & Han, I. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 4

Minimizing Response Latency in LLM-Based Agent Systems: A Comprehensive Survey

Park, G., Lee, S., & Park, Y. (2026) · IEEE Access

Natural Language Processing TechniquesArtificial Intelligence Applications

Cited by 4

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents

Zhu, W., Chen, X., Wang, Z., Wang, J., Dong, X., Huang, M., Cai, R., Sang, H., Wang, H., Qiu, P., et al. (2026) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 4

Bridging the gap between structural and metabolic neuroimaging via MRI-to-PET synthesis: a tri-attention enhanced GAN approach

Sheng, J., Zhu, H., Zhou, R., Zhang, Q., Wang, J., & Ying, Z. (2025) · Brain Research

Generative Adversarial Networks and Image SynthesisMedical Imaging Techniques and Applications

Cited by 4

Knowledge Graph-Guided Retrieval Augmented Generation

Zhu, X., Xie, Y., Liu, Y., Li, Y., & Hu, W. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

An Efficient Context-Dependent Memory Framework for LLM-Centric Agents

Gao, P., Zhao, J., Chen, X., & Yilin, L. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)

Topic ModelingNatural Language Processing Techniques

Cited by 4

Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive

Wachnik, R., Chruzik, K., & Pochopień, B. (2025) · Sensors

Information and Cyber SecurityTransportation Systems and Safety

Cited by 4

ADVANCING AI IN MARKETING THROUGH CROSS BORDER INTEGRATION ETHICAL CONSIDERATIONS AND POLICY IMPLICATIONS

SEO Executive, G. &. G. (. A. R. C., Hasan, R., Abdullah, M. S., & Lead - Seller Incubation, D. (. G. (2022) · American Journal of Scholarly Research and Innovation

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 4

Deep Fake Video Detection

Vardhan, H., Varshney, N., Manoj Kiran, R., Pradeep, R., & Dr. Latha, N. R. (2024) · International Research Journal on Advanced Engineering Hub (IRJAEH)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 4

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Fang, H., Han, B., Erickson, N., Zhang, X., Zhou, S., Dagar, A., Zhang, J., Turkmen, A. C., Hu, C., Rangwala, H., et al. (2025) · arXiv

Machine Learning and Data ClassificationSoftware Engineering Research

Cited by 4

Trans data epistemologies: Transgender ways of knowing with data

Stevens, N., & Doğan, A. L. (2025) · Big Data & Society

Ethics and Social Impacts of AILGBTQ Health, Identity, and Policy

Cited by 4

Testing Language Model Agents Safely in the Wild

Naihin, S., Atkinson, D., Green, M., Hamadi, M., Swift, C., Schonholtz, D., Kalai, A. T., & Bau, D. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 4