Check computer science papers: citations, claims and retractions

Human activity recognition in cognitive environments using sequential ELM

Chandan Kumar, R., Bharadwaj, S. S., Sumukha, B. N., & George, K. (2016) · 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)

Machine Learning and ELMContext-Aware Activity Recognition Systems

Cited by 8

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs

Yun, S., Lin, H., Thushara, R., Bhat, M. Q., Wang, Y., Jiang, Z., Deng, M., Wang, J., Tao, T., Li, J., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 8

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

Zhu, Y., Wang, Z., Gao, J., Tong, Y., An, J., Liao, W., Harrison, E. M., Ma, L., & Pan, C. (2024) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 8

Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask

Fan, B., Ding, F., Zhu, G., Huang, J., Kwong, S., Atrey, P., & Lyu, S. (2025) · ACM Transactions on Multimedia Computing, Communications, and Applications

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 8

An overload behavior detection system for engineering transport vehicles based on deep learning

Zhou, L., & Wu, G. (2018) · AIP Conference Proceedings

Advanced Neural Network ApplicationsTransport Systems and Technology

Cited by 8

Qwen2-Audio Technical Report

Chu, Y., Xu, J., Yang, Q., Wei, H., Wei, X., Guo, Z., Leng, Y., Lv, Y., He, J., Lin, J., et al. (2024) · arXiv

Speech Recognition and SynthesisMultimodal Machine Learning Applications

Cited by 8

Full Line Code Completion: Bringing AI to Desktop

Semenkin, A., Bibaev, V., Sokolov, Y., Krylov, K., Kalina, A., Khannanova, A., Savenkov, D., Rovdo, D., Davidenko, I., Karnaukhov, K., et al. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 8

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

Aler Tubella, A., Coelho Mollo, D., Dahlgren Lindström, A., Devinney, H., Dignum, V., Ericson, P., Jonsson, A., Kampik, T., Lenaerts, T., Mendez, J. A., et al. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 8

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing

Zemlyanskiy, Y., de Jong, M., Ainslie, J., Pasupat, P., Shaw, P., Qiu, L., Sanghai, S., & Sha, F. (2022) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 8

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Hines, K., Lopez, G., Hall, M., Zarfati, F., Zunger, Y., & Kiciman, E. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 8

RL with KL penalties is better viewed as Bayesian inference

Korbak, T., Perez, E., & Buckley, C. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Reinforcement Learning in RoboticsTopic Modeling

Cited by 8

AI-Powered Game Design: Experts Employing ChatGPT in the Game Design Process

LANKES, M., & STOCKL, A. (2023) · The Eurasia Proceedings of Science Technology Engineering and Mathematics

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 8

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Anokhin, P., Semenov, N., Sorokin, A., Evseev, D., Kravchenko, A., Burtsev, M., & Burnaev, E. (2024) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence in Games

Cited by 8

Learning dynamic polynomial proofs

Fawzi, A., Malinowski, M., Fawzi, H., & Fawzi, O. (2019) · arXiv

Polynomial and algebraic computationAdvanced Optimization Algorithms Research

Cited by 8

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework

Yuan, Z., Liu, Y., Cao, Y., Sun, W., Jia, H., Chen, R., Li, Z., Lin, B., Yuan, L., He, L., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 8

Robust sparse IQP sampling in constant depth

Paletta, L., Leverrier, A., Sarlette, A., Mirrahimi, M., & Vuillot, C. (2024) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 8

TD-MPC2: Scalable, Robust World Models for Continuous Control

Hansen, N., Su, H., & Wang, X. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 8

A Dual-Branch Fusion Model for Deepfake Detection Using Video Frames and Microexpression Features

Petmezas, G., Vanian, V., Rufete, M. P., Almaloglou, E. E. I., & Zarpalas, D. (2025) · Journal of Imaging

Digital Media Forensic DetectionFace recognition and analysis

Cited by 8

Beginning MATLAB and Simulink: From Beginner to Pro

Eshkabilov, S. (2022) · Apress eBooks

Computer Science and EngineeringMathematical and Computational Methods

Cited by 8

Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences

Pinhanez, C., Cavalin, P., Storto, L., Finbow, T., Cobbinah, A., Nogima, J., Vasconcelos, M., Domingues, P., Mizukami, P. D. S., Grell, N., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 8

Fast SystemC Processor Models with Unicorn

Jünger, L., Weinstock, J. H., Leupers, R., & Ascheid, G. (2019) · Proceedings of the Rapid Simulation and Performance Evaluation: Methods and Tools

Embedded Systems Design TechniquesParallel Computing and Optimization Techniques

Cited by 8

Beyond Individual and Group Fairness

Awasthi, P., Cortes, C., Mansour, Y., & Mohri, M. (2020) · arXiv

Ethics and Social Impacts of AIAdvanced Bandit Algorithms Research

Cited by 8

Evaluating Spatial Understanding of Large Language Models

Yamada, Y., Bao, Y., Lampinen, A. K., Kasai, J., & Yildirim, I. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation

Melz, E. (2023) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 8