Check computer science papers: citations, claims and retractions

Measuring Disentanglement: A Review of Metrics

Carbonneau, M.-A., Zaidi, J., Boilard, J., & Gagnon, G. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Generative Adversarial Networks and Image Synthesis

Cited by 52

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

Qiu, Y., Zhang, K., Wang, Y., Jin, X., Bai, L., Guan, S., & Cheng, X. (2020) · Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Topic ModelingSemantic Web and Ontologies

Cited by 52

PDF text classification to leverage information extraction from publication reports

Bui, D. D. A., Del Fiol, G., & Jonnalagadda, S. (2016) · Journal of Biomedical Informatics

Text and Document Classification TechnologiesAdvanced Text Analysis Techniques

Cited by 52

AI Trust: Can Explainable AI Enhance Warranted Trust?

de Brito Duarte, R., Correia, F., Arriaga, P., & Paiva, A. (2023) · Human Behavior and Emerging Technologies

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

Cited by 52

Is Temperature the Creativity Parameter of Large Language Models?

Peeperkorn, M., Kouwenhoven, T., Brown, D., & Jordanous, A. (2024) · arXiv

Topic ModelingArtificial Intelligence in Games

Cited by 52

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models

Dong, Y., Jiang, X., Liu, H., Jin, Z., Gu, B., Yang, M., & Li, G. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 52

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

Xu, Z., So, D. R., & Dai, A. M. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 52

Probing the 3D Awareness of Visual Foundation Models

Banani, M. E., Raj, A., Maninis, K.-K., Kar, A., Li, Y., Rubinstein, M., Sun, D., Guibas, L., Johnson, J., & Jampani, V. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 52

Leveraging rationales to improve human task performance

Das, D., & Chernova, S. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 52

An augmented reality system validation for the treatment of cockroach phobia

Bretón-López, J., Quero, S., Botella, C., García-Palacios, A., Baños, R. M., & Alcañiz, M. (2010) · Cyberpsychology Behavior and Social Networking

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 52

Group sparse representation with wavenet vocoder adaptation for spectrum and prosody conversion

Sisman, B., Zhang, M., & Li, H. (2019) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 52

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Salemi, A., Kallumadi, S., & Zamani, H. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 52

A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being

Del-Valle-Soto, C., López-Pimentel, J. C., Vázquez-Castillo, J., Nolazco-Flores, J. A., Velázquez, R., Varela-Aldás, J., & Visconti, P. (2024) · Sensors

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 52

Integrating Computational Thinking Into Scaffolding Learning: An Innovative Approach to Enhance Science, Technology, Engineering, and Mathematics Hands-On Learning

Lee, H.-Y., Wu, T.-T., Lin, C.-J., Wang, W.-S., & Huang, Y.-M. (2024) · Journal of Educational Computing Research

Teaching and Learning ProgrammingEducation and Critical Thinking Development

Cited by 52

Towards security and privacy for edge ai in iot/ioe based digital marketing environments

Sachdev, R. (2020) · 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 52

It's Good to Talk: A Comparison of Using Voice Versus Screen-Based Interactions for Agent-Assisted Tasks

Reicherts, L., Rogers, Y., Capra, L., Wood, E., Duong, T. D., & Sebire, N. (2022) · ACM Transactions on Computer-Human Interaction

Speech and dialogue systemsUsability and User Interface Design

Cited by 52

Petals: Collaborative Inference and Fine-tuning of Large Models

Borzunov, A., Baranchuk, D., Dettmers, T., Riabinin, M., Belkada, Y., Chumachenko, A., Samygin, P., & Raffel, C. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

Topic ModelingNatural Language Processing Techniques

Cited by 52

Research data management policy and practice in Chinese university libraries

Huang, Y., Cox, A. M., & Sbaffi, L. (2021) · Journal of the Association for Information Science and Technology

Research Data Management PracticesLibrary Science and Information

Cited by 52

DATATALES: Investigating the use of Large Language Models for Authoring Data-Driven Articles

Sultanum, N., & Srinivasan, A. (2023) · 2023 IEEE Visualization and Visual Analytics (VIS)

Data Visualization and AnalyticsComputational and Text Analysis Methods

Cited by 52

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Khattab, O., Santhanam, K., Li, X. L., Hall, D., Liang, P., Potts, C., & Zaharia, M. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 52

Artificial agents’ explainability to support trust: considerations on timing and context

Papagni, G., de Pagter, J., Zafari, S., Filzmoser, M., & Koeszegi, S. T. (2023) · AI & SOCIETY

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

Cited by 52

My Bad! Repairing Intelligent Voice Assistant Errors Improves Interaction

Cuadra, A., Li, S., Lee, H., Cho, J., & Ju, W. (2021) · Proceedings of the ACM on Human-Computer Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 52

Security in Fog Computing through Encryption

Department of Computer Science, K. S. U., Vishwanath, A., Peruri, R., & He, J. (. (2016) · International Journal of Information Technology and Computer Science

IoT and Edge/Fog ComputingCryptographic Implementations and Security

Cited by 52

Cognitive mechanisms underlying virtual reality exposure

Côté, S., & Bouchard, S. (2009) · CyberPsychology & Behavior

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 52