Check computer science papers: citations, claims and retractions

An approximate Fourier transform useful in quantum factoring

Coppersmith, D. (2002) · arXiv

Quantum Computing Algorithms and ArchitectureLogic, programming, and type systems

Cited by 343

Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos

Maras, M.-H., & Alexandrou, A. (2019) · The International Journal of Evidence & Proof

Digital Media Forensic DetectionEducation, Law, and Society

Cited by 343

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reimers, N., & Gurevych, I. (2019) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 343

The Konstanz natural video database (KoNViD-1k)

Hosu, V., Hahn, F., Jenadeleh, M., Lin, H., Men, H., Sziranyi, T., Li, S., & Saupe, D. (2017) · 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 343

Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Pesah, A., Cerezo, M., Wang, S., Volkoff, T., Sornborger, A. T., & Coles, P. J. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 343

Dual-level Collaborative Transformer for Image Captioning

Luo, Y., Ji, J., Sun, X., Cao, L., Wu, Y., Huang, F., Lin, C.-W., & Ji, R. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 343

A Review of User Interface Design for Interactive Machine Learning

Dudley, J. J., & Kristensson, P. O. (2018) · ACM Transactions on Interactive Intelligent Systems

Data Visualization and AnalyticsUsability and User Interface Design

Cited by 343

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Li, J., Cheng, X., Zhao, X., Nie, J.-Y., & Wen, J.-R. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMisinformation and Its Impacts

Cited by 343

Mitigating measurement errors in multiqubit experiments

Bravyi, S., Sheldon, S., Kandala, A., Mckay, D. C., & Gambetta, J. M. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 343

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the VLDB Endowment

Topic ModelingNatural Language Processing Techniques

Cited by 342

Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging

Arun, N., Gaw, N., Singh, P., Chang, K., Aggarwal, M., Chen, B., Hoebel, K., Gupta, S., Patel, J., Gidwani, M., et al. (2021) · Radiology: Artificial Intelligence

Visual Attention and Saliency DetectionMedical Image Segmentation Techniques

Cited by 342

Understanding, explaining, and utilizing medical artificial intelligence

Cadario, R., Longoni, C., & Morewedge, C. K. (2021) · Nature Human Behaviour

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 342

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Qin, G., & Eisner, J. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 342

Human heuristics for AI-generated language are flawed

Jakesch, M., Hancock, J. T., & Naaman, M. (2023) · Proceedings of the National Academy of Sciences

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 342

Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

Ferrag, M. A., Friha, O., Maglaras, L., Janicke, H., & Shu, L. (2021) · IEEE Access

Privacy-Preserving Technologies in DataNetwork Security and Intrusion Detection

Cited by 342

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., & Gray, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 342

Template-Based Named Entity Recognition Using BART

Cui, L., Wu, Y., Liu, J., Yang, S., & Zhang, Y. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 342

Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems

Rezwana, J., & Maher, M. L. (2023) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 342

Usage, costs, and benefits of continuous integration in open-source projects

Hilton, M., Tunnell, T., Huang, K., Marinov, D., & Dig, D. (2016) · Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 342

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 342

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

Chen, P.-H. C., Gadepalli, K., MacDonald, R., Liu, Y., Kadowaki, S., Nagpal, K., Kohlberger, T., Dean, J., Corrado, G. S., Hipp, J. D., et al. (2019) · Nature Medicine

AI in cancer detectionAugmented Reality Applications

Cited by 342

Virtual reality in health system: beyond entertainment. a mini-review on the efficacy of VR during cancer treatment

Chirico, A., Lucidi, F., De Laurentiis, M., Milanese, C., Napoli, A., & Giordano, A. (2016) · Journal of Cellular Physiology

Virtual Reality Applications and ImpactsCancer survivorship and care

Cited by 342

Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time

Huang, Y., Kaufmann, M., Aksan, E., Black, M. J., Hilliges, O., & Pons-Moll, G. (2018) · ACM Transactions on Graphics

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 342

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

Lowe, R., Noseworthy, M., Serban, I. V., Angelard-Gontier, N., Bengio, Y., & Pineau, J. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 341