Check computer science papers: citations, claims and retractions

New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine

Geller, S. A., Gal, K., Segal, A., Sripathi, K., Kim, H. G., Facciotti, M. T., Igo, M., Hoernle, N., & Karger, D. (2021) · IEEE Transactions on Learning Technologies

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 9

FireAct: Toward Language Agent Fine-tuning

Chen, B., Shu, C., Shareghi, E., Collier, N., Narasimhan, K., & Yao, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Large Language Models can Implement Policy Iteration

Brooks, E., Walls, L., Lewis, R. L., & Singh, S. (2022) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 9

A Comparative Analysis of Euclidean, Jaccard and Cosine Similarity Measure and Arabic Wordnet for Automated Arabic Essay Scoring

Alobed, M., Altrad, A. M. M., & Bakar, Z. B. A. (2021) · 2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP)

Educational Technology and AssessmentNatural Language Processing Techniques

Cited by 9

Bigger, Better, Faster: Human-level Atari with human-level efficiency

Schwarzer, M., Obando-Ceron, J., Courville, A., Bellemare, M., Agarwal, R., & Castro, P. S. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9

A practical examination of AI-generated text detectors for large language models

Tufts, B., Zhao, X., & Li, L. (2024) · arXiv

Authorship Attribution and ProfilingAdversarial Robustness in Machine Learning

Cited by 9

Towards single integrated spoofing-aware speaker verification embeddings

Mun, S. H., Shim, H.-J., Tak, H., Wang, X., Liu, X., Sahidullah, M., Jeong, M., Han, M. H., Todisco, M., Lee, K. A., et al. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 9

Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference

Adnan, M., Arunkumar, A., Jain, G., Nair, P. J., Soloveychik, I., & Kamath, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Patel, L., Jha, S., Pan, M., Gupta, H., Asawa, P., Guestrin, C., & Zaharia, M. (2024) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 9

Semantic embeddings of generic objects for zero-shot learning

Hascoet, T., Ariki, Y., & Takiguchi, T. (2019) · EURASIP Journal on Image and Video Processing

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 9

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists

Doddapaneni, S., Khan, M. S. U. R., Verma, S., & Khapra, M. M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 9

PENGEMBANGAN MEDIA PEMBELAJARAN ELECTRONIC BOOK (E-BOOK) INTERAKTIF MULTIMEDIA DALAM MATA PELAJARAN TEKNIK ANIMASI 3D DAN TEKNIK ANIMASI 2D DI JURUSAN MULTIMEDIA SMK NEGERI 3 SINGARAJA

Sanuaka, A. A., Ariawan, K. U., & Sutaya, W. (2017) · Jurnal Pendidikan Teknik Elektro Undiksha

Multimedia Learning SystemsEducational Technology and E-Learning

Cited by 9

Academic librarianship as a data profession: The familiar and unfamiliar in the data role spectrum

Cox, A. (2018) · eLucidate

Research Data Management PracticesLibrary Science and Information Literacy

Cited by 9

Rapid On-Site AI-Assisted Grading for Lung Surgery Based on Optical Coherence Tomography

Liu, H.-C., Lin, M.-H., Chang, W.-C., Zeng, R.-C., Wang, Y.-M., & Sun, C.-W. (2023) · Cancers

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 9

A Network Approach to Public Trust in Generative AI

McIntyre, A., Conover, L., & Russo, F. (2025) · Philosophy & Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 9

Team Creativity in a Hybrid Software Development World: Eight Approaches

Jackson, V., Prikladnicki, R., van der Hoek, A., & Marshall, L. (2023) · IEEE Software

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 9

Continuous Control of Complex Chemical Reaction Network with Reinforcement Learning

Alhazmi, K., & Sarathy, S. M. (2020) · 2020 European Control Conference (ECC)

Reinforcement Learning in RoboticsAdvanced Control Systems Optimization

Cited by 9

Protocol for a Randomized Controlled Trial Testing the Efficacy of a Transdiagnostic Virtual Reality-Based Intervention for the Reduction of Unhealthy Lifestyles and Behaviors in the General Population

Gardini, V., Ruini, C., Tossani, E., Grandi, S., & Tomba, E. (2023) · Journal of Clinical Medicine

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 9

Fully automated initialisation of 2D–3D image registration

Varnavas, A., Carrell, T., & Penney, G. (2013) · 2013 IEEE 10th International Symposium on Biomedical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 9

No-Reference Image Quality Assessment with Moving Spectrum and Laplacian Filter for Autonomous Driving Environment

Nam, W., Youn, T., & Ha, C. (2025) · Vehicles

Image and Video Quality AssessmentAdvanced Image Processing Techniques

Cited by 9

Detecting Systematic Deviations in Data and Models

Speakman, S., Tadesse, G. A., Cintas, C., Ogallo, W., Akumu, T., & Oshingbesan, A. (2023) · Computer

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 9

Sometimes We Want Ungrammatical Translations

Parthasarathi, P., Sinha, K., Pineau, J., & Williams, A. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Natural Language Processing TechniquesTopic Modeling

Cited by 9

Evaluating Learning Outcomes Through Curriculum Analytics: Actionable Insights for Curriculum Decision-making: A Design-based research approach to assess learning outcomes in higher education

Hernández-Campos, M., Hilliger, I., & García-Peñalvo, F.-J. (2025) · Proceedings of the 15th International Learning Analytics and Knowledge Conference

Online Learning and AnalyticsEngineering Education and Curriculum Development

Cited by 9

A framework for mitigating malicious RLHF feedback in LLM training using consensus based reward

Haider, Z., Rahman, M. H., Devabhaktuni, V., Moeykens, S., & Chakraborty, P. (2025) · Scientific Reports

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 9