Check computer science papers: citations, claims and retractions

Investigating Data Contamination in Modern Benchmarks for Large Language Models

Deng, C., Zhao, Y., Tang, X., Gerstein, M., & Cohan, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Podracer architectures for scalable Reinforcement Learning

Hessel, M., Kroiss, M., Clark, A., Kemaev, I., Quan, J., Keck, T., Viola, F., & van Hasselt, H. (2021) · arXiv

Reinforcement Learning in RoboticsParallel Computing and Optimization Techniques

Cited by 8

Debugging with stack overflow: web search behavior in novice and expert programmers

Li, A., Endres, M., & Weimer, W. (2022) · Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training

Software Engineering ResearchTeaching and Learning Programming

Cited by 8

Return-to-Non-Secure Vulnerabilities on ARM Cortex-M TrustZone: Attack and Defense

Ma, Z., Tan, X., Ziarek, L., Zhang, N., Hu, H., & Zhao, Z. (2023) · 2023 60th ACM/IEEE Design Automation Conference (DAC)

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 8

Why Oatmeal is Cheap: Kolmogorov Complexity and Procedural Generation

Rabii, Y., & Cook, M. (2023) · Proceedings of the 18th International Conference on the Foundations of Digital Games

Artificial Intelligence in GamesComputability, Logic, AI Algorithms

Cited by 8

Enforcing Predictive Invariance across Structured Biomedical Domains

Jin, W., Barzilay, R., & Jaakkola, T. (2020) · arXiv

Domain Adaptation and Few-Shot LearningComputational Drug Discovery Methods

Cited by 8

A two-stage-pipeline CPU of SH-2 architecture implemented on FPGA and SoC for IoT, edge AI and robotic applications

Hagiwara, K., Hayashi, T., Kawasaki, S., Arakawa, F., Endo, O., Nomura, H., Tsukamoto, A., Nguyen, D., Nguyen, B., Tran, A., et al. (2018) · 2018 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)

Embedded Systems Design TechniquesEmbedded Systems and FPGA Applications

Cited by 8

Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques

Singh, Y., Andersen, J. B., Hathaway, Q., Venkatesh, S. K., Gores, G. J., & Erickson, B. (2025) · Oncotarget

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 8

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context

Qin, Y., Wang, S., Lou, Y., Dong, J., Wang, K., Li, X., & Mao, X. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 8

Identifying Patterns in IDC Research: Technologies for Improving Children's Well-being Connected to Overweight Issues

Høiseth, M., & Van Mechelen, M. (2017) · Proceedings of the 2017 Conference on Interaction Design and Children

Innovative Human-Technology InteractionObesity, Physical Activity, Diet

Cited by 8

ChatGPT Hallucinates Nonexistent Citations: Evidence from Economics

Buchanan, J., Hill, S., & Shapoval, O. (2023) · SSRN Electronic Journal

Topic ModelingEthics and Social Impacts of AI

Cited by 8

Managing Provenance Data in Knowledge Graph Management Platforms

Kleinsteuber, E., Al Mustafa, T., Zander, F., König-Ries, B., & Babalou, S. (2024) · Datenbank-Spektrum

Semantic Web and OntologiesScientific Computing and Data Management

Cited by 8

ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models

Akdemir, K., & Yanardag, P. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 8

Lightweight Privacy-Preserving Distributed Recommender System Using Tag-Based Multikey Fully Homomorphic Data Encapsulation

Zhou, J., Gao, G., Cao, Z., Choo, K.-K. R., & Dong, X. (2023) · IEEE Transactions on Dependable and Secure Computing

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 8

A 0.57-GOPS/DSP Object Detection PIM Accelerator on FPGA

Jiao, B., Zhang, J., Xie, Y., Wang, S., Zhu, H., Kang, X., Dong, Z., Zhang, L., & Chen, C. (2021) · Proceedings of the 26th Asia and South Pacific Design Automation Conference

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 8

Learning to play soccer by reinforcement and applying sim-to-real to compete in the real world

Bassani, H. (2019) · LatinX in AI at Neural Information Processing Systems Conference 2019

Reinforcement Learning in RoboticsEducational Robotics and Engineering

Cited by 8

STILE: Exploring and Debugging Social Biases in Pre-trained Text Representations

Kabir, S., Li, L., & Zhang, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 8

Open Research Knowledge Graph: A Large-Scale Neuro-Symbolic Knowledge Organization System

Auer, S., D’Souza, J., Farfar, K. E., Jaradeh, M. Y., Jiomekong, A., Karras, O., Oelen, A., Snyder, L., Stocker, M., & Vogt, L. (2025) · Frontiers in Artificial Intelligence and Applications

Semantic Web and OntologiesAdvanced Graph Neural Networks

Cited by 8

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Baker, B., Huizinga, J., Gao, L., Dou, Z., Guan, M. Y., Madry, A., Zaremba, W., Pachocki, J., & Farhi, D. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 8

Emotional Intelligence of Large Language Models

Wang, X., Li, X., Yin, Z., Wu, Y., & Jia, L. (2023) · arXiv

Emotion and Mood RecognitionEmotional Intelligence and Performance

Cited by 8

On preprocessing the data for improving sexual predator detection: Anonymous for review

Borj, P. R., Raja, K., & Bours, P. (2020) · 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 8

Massive Activations in Large Language Models

Sun, M., Chen, X., Kolter, J. Z., & Liu, Z. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 8

Analysis of Forearm Rotational Motion Using Biplane Fluoroscopic Intensity-Based 2D-3D Matching

Abe, S., Otake, Y., Tennma, Y., Hiasa, Y., Oka, K., Tanaka, H., Shigi, A., Miyamura, S., Sato, Y., & Murase, T. (2019) · Journal of Biomechanics

Medical Image Segmentation TechniquesElbow and Forearm Trauma Treatment

Cited by 8

Generative ML and CSAM: Implications and Mitigations

Thiel, D., Stroebel, M., Portnoff, R., Hancock, J., Scyphers, C., O'Gorman, T., & DiResta, R. (2025) · Stanford Digital Repository

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 8