Check computer science papers: citations, claims and retractions

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

Gupta, G., Yadav, K., Gal, Y., Kira, Z., Batra, D., Lu, C., & Rudner, T. (2024) · Advances in Neural Information Processing Systems 37

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 5

TCE at Qur’an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur’anic QA

Elkomy, M., & Sarhan, A. (2023) · Proceedings of ArabicNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 5

Usability research of interaction design for e-commerce Website

Wang, Q. (2011) · 2011 International Conference on E-Business and E-Government (ICEE)

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 5

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods

Fu, Y., Ramachandran, G. K., Dobbins, N. J., Park, N., Leu, M., Rosenberg, A. R., Lybarger, K., Xia, F., Uzuner, O., & Yetisgen, M. (2024) · arXiv

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 5

A Brief Introduction to Automatic Differentiation for Machine Learning

Harrison, D. (2021) · arXiv

Neural Networks and ApplicationsNumerical Methods and Algorithms

Cited by 5

Verifiable Format Control for Large Language Model Generations

Wang, Z., Jiang, J., Zhou, H., Zheng, W., Zhang, X., Bansal, C., & Yao, H. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 5

Inspect4py: a knowledge extraction framework for python code repositories

Filgueira, R., & Garijo, D. (2022) · Proceedings of the 19th International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 5

A Digital Companion Architecture for Ambient Intelligence

Garcia, K., Vontobel, J., & Mayer, S. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsSocial Robot Interaction and HRI

Cited by 5

Toward a Quantitative Trustworthy Evaluation of Post-Hoc XAI Feature Importance Maps Using Saliency-Based Occlusion

Dakhli, R., & Barhoumi, W. (2024) · 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 5

When More is Less: Understanding Chain-of-Thought Length in LLMs

Wu, Y., Wang, Y., Ye, Z., Du, T., Jegelka, S., & Wang, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective

Ferino, S., Hoda, R., Grundy, J., & Treude, C. (2025) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 5

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

Chen, Y., Zhong, R., Ri, N., Zhao, C., He, H., Steinhardt, J., Yu, Z., & McKeown, K. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5

Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions

Menotti, L., Marchesin, S., Giachelle, F., & Silvello, G. (2025) · International Journal on Digital Libraries

Semantic Web and OntologiesBiomedical Text Mining and Ontologies

Cited by 5

APPLICATIONS OF DATA MINING TECHNIQUES TO AUTOMATIC FROG IDENTIFICATION

Huang, C.-J., Yang, Y.-J., Yang, D.-X., & Chen, Y.-J. (2009) · Applied Artificial Intelligence

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 5

Can Deepfakes be created on a whim?

Mehta, P., Jagatap, G., Gallagher, K., Timmerman, B., Deb, P., Garg, S., Greenstadt, R., & Dolan-Gavitt, B. (2023) · Companion Proceedings of the ACM Web Conference 2023

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 5

5D-IoT, a semantic web based framework for assessing IoT data quality

Mante, S., Hernandez, N., Hussain, A. M., Chaudhari, S., Gangadharan, D., & Monteil, T. (2022) · Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Semantic Web and OntologiesData Quality and Management

Cited by 5

Early outcome detection for COVID-19 patients

Sîrbu, A., Barbieri, G., Faita, F., Ferragina, P., Gargani, L., Ghiadoni, L., & Priami, C. (2021) · Scientific Reports

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 5

PLATO-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning

Lei, Z., Zhang, C., Xu, X., Wu, W., Niu, Z.-Y., Wu, H., Wang, H., Yang, Y., & Li, S. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track

Topic ModelingNatural Language Processing Techniques

Cited by 5

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Li, M., Miao, S., & Li, P. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 5

AI-enabled Parkinson's disease screening using smile videos

Adnan, T., Islam, M. S., Lee, S., Wasifur Rahman Chowdhury, E. M., Tithi, S. D., Noshin, K., Islam, M. R., Sarker, I., Rahman, M. S., Schneider, R. B., et al. (2025) · NEJM AI

Face recognition and analysisEmotion and Mood Recognition

Cited by 5

Exceptional Data Quality Using Intelligent Matching and Retrieval

Bidlack, C., & Wellman, M. P. (2010) · AI Magazine

Data Quality and ManagementInformation Retrieval and Data Mining

Cited by 5

TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QA

Elkomy, M. A., & Sarhan, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Quan, S., Yang, J., Yu, B., Zheng, B., Liu, D., Yang, A., Ren, X., Gao, B., Miao, Y., Feng, Y., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 5

RHAD: A Reinforced Heterogeneous Anomaly Detector for Robust Industrial Control System Security

Han, X., Niu, Y., Cao, Z., Zhou, D., & Liu, B. (2025) · Electronics

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 5