Check computer science papers: citations, claims and retractions

FIFO-Diffusion: Generating Infinite Videos from Text without Training

Kim, J., Kang, J., Choi, J., & Han, B. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 17

MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Cassano, F., Gouwar, J., Nguyen, D., Nguyen, S., Phipps-Costin, L., Pinckney, D., Yee, M.-H., Zi, Y., Anderson, C. J., Feldman, M. Q., et al. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 17

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Xu, B., Peng, Z., Lei, B., Mukherjee, S., Liu, Y., & Xu, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

Portfolio Optimization of 40 Stocks Using the DWave Quantum Annealer

Cohen, J., Khan, A., & Alexander, C. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureRisk and Portfolio Optimization

Cited by 17

PaliGemma: A versatile 3B VLM for transfer

Beyer, L., Steiner, A., Pinto, A. S., Kolesnikov, A., Wang, X., Salz, D., Neumann, M., Alabdulmohsin, I., Tschannen, M., Bugliarello, E., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 17

Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters

Maarseveen, T. D., Glas, H. K., Veris-van Dieren, J., van den Akker, E., & Knevel, R. (2025) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 17

Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes

Pinto, G., De Souza, C., Rocha, T., Steinmacher, I., Souza, A., & Monteiro, E. (2024) · Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 17

The Manga Whisperer: Automatically Generating Transcriptions for Comics

Sachdeva, R., & Zisserman, A. (2024) · arXiv

Handwritten Text Recognition TechniquesComics and Graphic Narratives

Cited by 17

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

Zhang, Y., Dong, Y., Zhang, S., Min, T., Su, H., & Zhu, J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 17

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

Shakerin, F., & Gupta, G. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Logic, Reasoning, and Knowledge

Cited by 17

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Ji, Z., Yu, T., Xu, Y., Lee, N., Ishii, E., & Fung, P. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 17

Factors Affecting Engineering Students' Achievement in Computer Programming

Gurer, M. D., & Tokumaci, S. (2020) · International Journal of Computer Science Education in Schools

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 17

Physics of language models: Part 3.3, knowledge capacity scaling laws

Allen-Zhu, Z., & Li, Y. (2025) · SSRN Electronic Journal

Topic ModelingNatural Language Processing Techniques

Cited by 17

Traffic data collection from aerial imagery

Schreuder, M., Hoogendoorn, S. P., Van Zulyen, H. J., Gorte, B., & Vosselman, G. (2004) · Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 17

Seeing (Movement) is Believing: The Effect of Motion on Perception of Automatic Systems Performance

García García, P., Costanza, E., Verame, J., Nowacka, D., & Ramchurn, S. D. (2021) · Human–Computer Interaction

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 17

Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters

Schuster, T., Chen, S., Buthpitiya, S., Fabrikant, A., & Metzler, D. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingNatural Language Processing Techniques

Cited by 17

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reddy, C. K., Màrquez, L., Valero, F., Rao, N., Zaragoza, H., Bandyopadhyay, S., Biswas, A., Xing, A., & Subbian, K. (2022) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 17

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Mijuskovic, A., Bemthuis, R., Aldea, A., & Havinga, P. (2020) · 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)

IoT and Edge/Fog ComputingInformation Technology Governance and Strategy

Cited by 17

Machine Learning-Based Run-Time DevSecOps: ChatGPT Against Traditional Approach

Petrović, N. (2023) · 2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN)

Network Security and Intrusion DetectionSoftware System Performance and Reliability

Cited by 17

Vehicular Edge Computing via Deep Reinforcement Learning

Qi, Q., & Ma, Z. (2019) · arXiv

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 17

Development of a Quiz – Implementation of a (Self-) Assessment Tool and its Integration in Moodle

Schweighofer, J., Taraghi, B., & Ebner, M. (2019) · International Journal of Emerging Technologies in Learning (iJET)

Educational Technology and AssessmentEducational Technology and E-Learning

Cited by 17

Formal Methods for Autonomous Systems

Wongpiromsarn, T., Ghasemi, M., Cubuktepe, M., Bakirtzis, G., Carr, S., Karabag, M. O., Neary, C., Gohari, P., & Topcu, U. (2023) · Foundations and Trends® in Systems and Control

Formal Methods in VerificationSafety Systems Engineering in Autonomy

Cited by 17

Optimization of a Statistical Algorithm for Objective Comparison of Toolmarks

Spotts, R., Chumbley, L. S., Ekstrand, L., Zhang, S., & Kreiser, J. (2015) · Journal of Forensic Sciences

Image Processing and 3D ReconstructionForensic Fingerprint Detection Methods

Cited by 17

Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence

Cheng, M., Lee, C., Khadpe, P., Yu, S., Han, D., & Jurafsky, D. (2025) · arXiv

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 17