Check computer science papers: citations, claims and retractions

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models

Sadat, S., Buhmann, J., Bradley, D., Hilliges, O., & Weber, R. M. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 7

LittleBit: Ultra Low-Bit Quantization via Latent Factorization

Lee, B., Kim, D., You, Y., & Kim, Y. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 7

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

Mehta, N., Teruel, M., Sanz, P. F., Deng, X., Awadallah, A. H., & Kiseleva, J. (2023) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 7

Collaboration among Crowdsourcees: Towards a Design Theory for Collaboration Process Design

Tavanapour, N., & Bittner, E. A. C. (2017) · Proceedings of the Annual Hawaii International Conference on System Sciences

Mobile Crowdsensing and CrowdsourcingOpen Source Software Innovations

Cited by 7

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI

Gautam, S., Venkit, P. N., & Ghosh, S. (2024) · arXiv

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 7

Generative Monoculture in Large Language Models

Wu, F., Black, E., & Chandrasekaran, V. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 7

Healthcare Informatics Security Issues and Solutions Using Federated Learning

Goswami, S. A., Dave, S., & Patel, K. C. (2024) · Federated Learning for Smart Communication using IoT Application

Information and Cyber SecurityThoreau and American Literature

Cited by 7

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models

Land, S., & Bartolo, M. (2024) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 7

Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems

Kim, K.-K., Kim, J.-S., & Euom, I.-C. (2025) · IEEE Access

Network Security and Intrusion DetectionFault Detection and Control Systems

Cited by 7

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game

Toyer, S., Watkins, O., Mendes, E. A., Svegliato, J., Bailey, L., Wang, T., Ong, I., Elmaaroufi, K., Abbeel, P., Darrell, T., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

Moody5: Personality-biased agents to enhance interactive storytelling in video games

Garavaglia, F., Nobre, R. A., Ripamonti, L. A., Maggiorini, D., & Gadia, D. (2022) · 2022 IEEE Conference on Games (CoG)

Artificial Intelligence in GamesDigital Games and Media

Cited by 7

VideoTetris: Towards Compositional Text-to-Video Generation

Tian, Y., Yang, L., Yang, H., Gao, Y., Deng, Y., Chen, J., Wang, X., Yu, Z., Tao, X., Wan, P., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 7

Development of Mobile Application Incorporating Augmented Reality for E-education and Training Systems

Madhankumar, S., Prawin Sankar, T. A., Shibin Thomas, S., Brundhavani, G., Paul, P., & Girishkumar, V. (2021) · IOP Conference Series: Materials Science and Engineering

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 7

Admission Control of Video Sessions over Ad Hoc Networks Using Neural Classifiers

Vassis, D., Kampouraki, A., Belsis, P., & Skourlas, C. (2014) · 2014 IEEE Military Communications Conference

Network Traffic and Congestion ControlMobile Ad Hoc Networks

Cited by 7

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Zhong, M., Liu, Y., Yin, D., Mao, Y., Jiao, Y., Liu, P., Zhu, C., Ji, H., & Han, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Variant Forks - Motivations and Impediments

Businge, J., Zerouali, A., Decan, A., Mens, T., Demeyer, S., & De Roover, C. (2022) · 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

Open Source Software InnovationsSoftware Engineering Research

Cited by 7

Attention Mechanism for Human Motion Prediction

Al-aqel, A. F., & Ali Khan, M. (2020) · 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS)

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 7

Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems

Pinhanez, C. S., Candello, H., Cavalin, P., Pichiliani, M. C., Appel, A. P., Alves Ribeiro, V. H., Nogima, J., de Bayser, M., Guerra, M., Ferreira, H., et al. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSpeech and dialogue systems

Cited by 7

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models

Dong, Z., Tang, T., Li, J., Zhao, W. X., & Wen, J.-R. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Saad-Falcon, J., Khattab, O., Potts, C., & Zaharia, M. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

Neither ‘Neo-Luddism’ nor ‘Neo-Positivism’; Rethinking Social Work’s Positioning in the Context of Rapid Technological Change

Ioakimidis, V., & Maglajlic, R. A. (2023) · The British Journal of Social Work

Ethics and Social Impacts of AISocial Work Education and Practice

Cited by 7

How Far is Video Generation from World Model: A Physical Law Perspective

Kang, B., Yue, Y., Lu, R., Lin, Z., Zhao, Y., Wang, K., Huang, G., & Feng, J. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 7

Towards Effective Extraction and Evaluation of Factual Claims

Metropolitansky, D., & Larson, J. (2025) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 7

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks

Peng, H., Wang, X., Chen, J., Li, W., Qi, Y., Wang, Z., Wu, Z., Zeng, K., Xu, B., Hou, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 7