Check computer science papers: citations, claims and retractions

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Tay, Y., Dehghani, M., Abnar, S., Chung, H., Fedus, W., Rao, J., Narang, S., Tran, V., Yogatama, D., & Metzler, D. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 34

Towards intellectual freedom in an AI Ethics Global Community

Ebell, C., Baeza-Yates, R., Benjamins, R., Cai, H., Coeckelbergh, M., Duarte, T., Hickok, M., Jacquet, A., Kim, A., Krijger, J., et al. (2021) · AI and Ethics

Ethics and Social Impacts of AIAcademic Freedom and Politics

Cited by 34

Tech Worker Organizing for Power and Accountability

Boag, W., Suresh, H., Lepe, B., & D'Ignazio, C. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AILegal and Labor Studies

Cited by 34

Using fNIRS in Usability Testing: Understanding the Effect of Web Form Layout on Mental Workload

Lukanov, K., Maior, H. A., & Wilson, M. L. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignOptical Imaging and Spectroscopy Techniques

Cited by 34

Relevance of learning analytics to measure and support students' learning in adaptive educational technologies

Bannert, M., Molenaar, I., Azevedo, R., Järvelä, S., & Gašević, D. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 34

Implementation of Smart Restaurant with e-menu Card

D.Jakhete, M., & C. Mankar, P. (2015) · International Journal of Computer Applications

Mobile and Web ApplicationsEngineering and Information Technology

Cited by 34

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Wang, Z. Z., Asai, A., Yu, X. V., Xu, F. F., Xie, Y., Neubig, G., & Fried, D. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 34

Inter-data-center network traffic prediction with elephant flows

Li, Y., Liu, H., Yang, W., Hu, D., & Xu, W. (2016) · NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium

Network Traffic and Congestion ControlInternet Traffic Analysis and Secure E-voting

Cited by 34

ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Ye, L., Tao, Z., Huang, Y., & Li, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Retrieval-Augmented Generation with Graphs (GraphRAG)

Han, H., Wang, Y., Shomer, H., Guo, K., Ding, J., Lei, Y., Halappanavar, M., Rossi, R. A., Mukherjee, S., Tang, X., et al. (2025) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 34

Trialists' intent to share individual participant data as disclosed at ClinicalTrials.gov

Bergeris, A., Tse, T., & Zarin, D. A. (2018) · JAMA

Research Data Management PracticesEthics in Clinical Research

Cited by 34

Lessons Learned in Designing AI for Autistic Adults

Begel, A., Tang, J., Andrist, S., Barnett, M., Carbary, T., Choudhury, P., Cutrell, E., Fung, A., Junuzovic, S., McDuff, D., et al. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 34

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

Zhan, X., Liu, Z., Luo, P., Tang, X., & Loy, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 34

LiveObj: Object Semantics-based Viewport Prediction for Live Mobile Virtual Reality Streaming

Feng, X., Bao, Z., & Wei, S. (2021) · IEEE Transactions on Visualization and Computer Graphics

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 34

SVM-based detection of moving vehicles for automatic traffic monitoring

Gao, D., Zhou, J., & Xin, L. (2002) · ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 34

The Relationship Between Referral of Touch and the Feeling of Ownership in the Rubber Hand Illusion

Reader, A. T., Trifonova, V. S., & Ehrsson, H. H. (2021) · Frontiers in Psychology

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 34

Lifelong and Continual Learning Dialogue Systems: Learning during Conversation

Liu, B., & Mazumder, S. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and dialogue systemsAI in Service Interactions

Cited by 34

Token Pooling in Vision Transformers

Marin, D., Chang, J.-H. R., Ranjan, A., Prabhu, A., Rastegari, M., & Tuzel, O. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 34

Understanding and realizing presence in the Presenccia project.

Slater, M., Frisoli, A., Tecchia, F., Guger, C., Lotto, B., Steed, A., Pfurtscheller, G., Leeb, R., Reiner, M., Sanchez-Vives, M. V., et al. (2007) · IEEE Computer Graphics and Applications

Virtual Reality Applications and ImpactsInteractive and Immersive Displays

Cited by 34

Pedestrian detection in poor weather conditions using moving camera

Jegham, I., & Ben Khalifa, A. (2017) · 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 34

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Wang, Y., Yu, Z., Zeng, Z., Yang, L., Wang, C., Chen, H., Jiang, C., Xie, R., Wang, J., Xie, X., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pang, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · arXiv

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34

Harmonized representation learning on dynamic EHR graphs

Lee, D., Jiang, X., & Yu, H. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 34

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

Qin, R., Li, Z., He, W., Zhang, M., Wu, Y., Zheng, W., & Xu, X. (2024) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 34