Check computer science papers: citations, claims and retractions

Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents

Abbass, H., Harvey, J., & Yaxley, K. (2018) · arXiv

Software Testing and Debugging TechniquesSafety Systems Engineering in Autonomy

Cited by 10

Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144's Bias Audits

Gerchick, M. K., Encarnación, R., Tanigawa-Lau, C., Armstrong, L., Gutiérrez, A., & Metaxa, D. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 10

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction

Malik, A., Mirdehghan, P., Nousias, S., Kutulakos, K., & Lindell, D. (2023) · Advances in Neural Information Processing Systems 36

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 10

Research on Counting Method of Bus Passenger Flow Based on Kinematics of Human Body and SVM

Zhu, F., Gu, J., Yang, R., & Zhao, Z. (2008) · 2008 Second International Symposium on Intelligent Information Technology Application

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 10

WildChat: 1M ChatGPT Interaction Logs in the Wild

Zhao, W., Ren, X., Hessel, J., Cardie, C., Choi, Y., & Deng, Y. (2024) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 10

Universal humanoid motion representations for physics-based control

Luo, Z., Cao, J., Merel, J., Winkler, A., Huang, J., Kitani, K., & Xu, W. (2023) · arXiv

Human Motion and AnimationReinforcement Learning in Robotics

Cited by 10

Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection

Yokoo, S. (2021) · arXiv

Digital Media Forensic DetectionAdvanced Image and Video Retrieval Techniques

Cited by 10

INSPIRED High School Computing Academies

Doerschuk, P., Liu, J., & Mann, J. (2011) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingCareer Development and Diversity

Cited by 10

Improving Threshold for Fault-Tolerant Color-Code Quantum Computing by Flagged Weight Optimization

Takada, Y., & Fujii, K. (2024) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 10

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment

Miao, Z., Wu, Q., Zhao, K., Wu, Z., & Tsuruoka, Y. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 10

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models

Dao, T., Chen, B., Liang, K., Yang, J., Song, Z., Rudra, A., & Ré, C. (2021) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 10

When Is A Linear Operator Diagonalizable?

Abate, M. (1997) · The American Mathematical Monthly

Matrix Theory and AlgorithmsRings, Modules, and Algebras

Cited by 10

First workshop on targeting and ranking for online advertising

Dominowska, E., & Josifovski, V. (2008) · Proceedings of the 17th international conference on World Wide Web

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 10

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks

Bavaresco, A., Bernardi, R., Bertolazzi, L., Elliott, D., Fernández, R., Gatt, A., Ghaleb, E., Giulianelli, M., Hanna, M., Koller, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Beyond spatial bias: understanding the colonial legacies and contemporary social forces shaping biodiversity data

Faxon, H., & Chapman, M. (2025) · Environmental Research Letters

Research Data Management PracticesConservation, Biodiversity, and Resource Management

Cited by 10

Automated Checkout for Stores: A Computer Vision Approach

James, N. (2021) · Revista Gestão Inovação e Tecnologias

Advanced Neural Network ApplicationsSmart Agriculture and AI

Cited by 10

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Li, J., Chen, J., Ren, R., Cheng, X., Zhao, W. X., Nie, J.-Y., & Wen, J.-R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Explainable Cross-Domain Recommendations Through Relational Learning

Sopchoke, S., Fukui, K.-I., & Numao, M. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 10

On Attack-Resilient Service Placement and Availability in Edge-Enabled IoV Networks

Talpur, A., & Gurusamy, M. (2023) · IEEE Transactions on Intelligent Transportation Systems

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 10

Supporting Diverse Learners in K-8 Computational Thinking with TIPP&SEE

Salac, J., Thomas, C., Butler, C., & Franklin, D. (2021) · Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 10

You Are What You Write: Preserving Privacy in the Era of Large Language Models

Plant, R., Giuffrida, V., & Gkatzia, D. (2022) · arXiv

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 10

What's up with the Rubber Hand Illusion?

Seth, A., Roseboom, W., Dienes, Z., & Lush, P. (2021)

Virtual Reality Applications and ImpactsFree Will and Agency

Cited by 10

Acoustic correlates of user response to error in human-computer dialogues

Kazemzadeh, A., Lee, S., & Narayanan, S. (2004) · 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721)

Speech and dialogue systemsEmotion and Mood Recognition

Cited by 10

Scaling Laws for Generative Mixed-Modal Language Models

Aghajanyan, A., Yu, L., Conneau, A., Hsu, W.-N., Hambardzumyan, K., Zhang, S., Roller, S., Goyal, N., Levy, O., & Zettlemoyer, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 10