Check computer science papers: citations, claims and retractions

LM vs LM: Detecting Factual Errors via Cross Examination

Cohen, R., Hamri, M., Geva, M., & Globerson, A. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 85

Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads

Jones, K., & Salo, D. (2018) · College & Research Libraries

Online Learning and AnalyticsLibrary Science and Information Literacy

Cited by 85

Impact of virtual reality applications in the treatment of anxiety disorders: A systematic review and meta-analysis of randomized-controlled trials

Schröder, D., Wrona, K. J., Müller, F., Heinemann, S., Fischer, F., & Dockweiler, C. (2023) · Journal of Behavior Therapy and Experimental Psychiatry

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 85

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Li, Z., Sun, M., Lu, A., Ma, H., Yuan, G., Xie, Y., Tang, H., Li, Y., Leeser, M., Wang, Z., et al. (2022) · 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 85

First-person view of one’s body in immersive virtual reality: Influence on episodic memory

Bréchet, L., Mange, R., Herbelin, B., Theillaud, Q., Gauthier, B., Serino, A., & Blanke, O. (2019) · PLOS ONE

Virtual Reality Applications and ImpactsMemory Processes and Influences

Cited by 85

Detecting, Tracing, and Monitoring Architectural Tactics in Code

Mirakhorli, M., & Cleland-Huang, J. (2016) · IEEE Transactions on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 85

Combining Geographical and Social Influences with Deep Learning for Personalized Point-of-Interest Recommendation

Guo, J., Zhang, W., Fan, W., & Li, W. (2018) · Journal of Management Information Systems

Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis

Cited by 85

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Kim, J., Chang, S., & Kwak, N. (2021) · Interspeech 2021

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 85

Advanced Intrusion Detection Combining Signature-Based and Behavior-Based Detection Methods

Kwon, H.-Y., Kim, T., & Lee, M.-K. (2022) · Electronics

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 85

Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud

Henning, S., & Hasselbring, W. (2024) · Journal of Systems and Software

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 85

Optimizing generative AI by backpropagating language model feedback

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Lu, P., Huang, Z., Guestrin, C., & Zou, J. (2025) · Nature

Artificial Intelligence ApplicationsTopic Modeling

Cited by 85

CLASTR: The Cellosaurus STR similarity search tool ‐ A precious help for cell line authentication

Robin, T., Capes‐Davis, A., & Bairoch, A. (2020) · International Journal of Cancer

Research Data Management PracticesViral Infectious Diseases and Gene Expression in Insects

Cited by 85

Quantum deep learning

Wiebe, N., Kapoor, A., & Svore, K. M. (2016) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 85

Spatially Consistent Representation Learning

Roh, B., Shin, W., Kim, I., & Kim, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 85

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Sainz, O., Campos, J. A., García-Ferrero, I., Etxaniz, J., de Lacalle, O. L., & Agirre, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 85

Quantitative program reasoning with graded modal types

Orchard, D., Liepelt, V.-B., & Eades III, H. (2019) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 85

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference

Subedar, M., Krishnan, R., Meyer, P. L., Tickoo, O., & Huang, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 85

With Little Power Comes Great Responsibility

Card, D., Henderson, P., Khandelwal, U., Jia, R., Mahowald, K., & Jurafsky, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 84

In Search of Big Medical Data Integration Solutions - A Comprehensive Survey

Dhayne, H., Haque, R., Kilany, R., & Taher, Y. (2019) · IEEE Access

Data Quality and ManagementElectronic Health Records Systems

Cited by 84

Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience

Bampis, C. G., Li, Z., Katsavounidis, I., & Bovik, A. C. (2018) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 84

Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data

Wei, J., Kim, S., Jung, H., & Kim, Y.-H. (2024) · Proceedings of the ACM on Human-Computer Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 84

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity

Zhang, H., Cui, Z., Chen, J., Wang, X., Zhang, Q., Wang, Z., Wu, D., & Hu, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 84

Assessment of the Accuracy of SRTM C- and X-Band High Mountain Elevation Data: a Case Study of the Polish Tatra Mountains

Kolecka, N., & Kozak, J. (2014) · Pure and Applied Geophysics

Satellite Image Processing and PhotogrammetrySynthetic Aperture Radar (SAR) Applications and Techniques

Cited by 84

A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips

Nguyen, T.-L., Kavuri, S., & Lee, M. (2019) · Neural Networks

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 84