Check computer science papers: citations, claims and retractions

Optimal Power Control for Over-The-Air Federated Edge Learning Using Statistical Channel Knowledge

Yu, X., Xiao, B., Ni, W., & Wang, X. (2022) · 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 4

InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management

Lee, W., Lee, J., Seo, J., & Sim, J. (2024) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 4

LearnLM: Improving Gemini for Learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Wiltshire, B., Veprek, B., Gillick, D., Kasenberg, D., Ahmed, D., et al. (2024) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 4

Data Integration Issues and Opportunities in Biological XML Data Management

Mesiti, M., Ruiz, E. J., Sanz, I., Llavori, R. B., Valentini, G., Perlasca, P., & Manset, D. (2010) · Open and Novel Issues in XML Database Applications

Semantic Web and OntologiesBiomedical Text Mining and Ontologies

Cited by 4

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Deng, X., Da, J., Pan, E., He, Y. Y., Ide, C., Garg, K., Lauffer, N., Park, A., Pasari, N., Rane, C., et al. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 4

Who wrote this code? Watermarking for code generation

Lee, T., Hong, S., Ahn, J., Hong, I., Lee, H., Yun, S., Shin, J., & Kim, G. (2023) · arXiv

Software Engineering ResearchAdvanced Steganography and Watermarking Techniques

Cited by 4

Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning

Lindsay, G. W., Merel, J., Mrsic-Flogel, T., & Sahani, M. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 4

Language Models Learn to Mislead Humans via RLHF

Wen, J., Zhong, R., Khan, A., Perez, E., Steinhardt, J., Huang, M., Bowman, S. R., He, H., & Feng, S. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 4

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models

Hao, S., Gu, Y., Luo, H., Liu, T., Shao, X., Wang, X., Xie, S., Ma, H., Samavedhi, A., Gao, Q., et al. (2024) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 4

The Effectiveness of Compact Fine-Tuned LLMs in Log Parsing

Mehrabi, M., Hamou-Lhadj, A., & Moosavi, H. (2024) · 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Software System Performance and ReliabilityTopic Modeling

Cited by 4

Auditing language models for hidden objectives

Marks, S., Treutlein, J., Bricken, T., Lindsey, J., Marcus, J., Mishra-Sharma, S., Ziegler, D., Ameisen, E., Batson, J., Belonax, T., et al. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 4

Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results

Preti, G., Morales, G. D. F., & Riondato, M. (2022) · 2022 IEEE International Conference on Data Mining (ICDM)

Data Mining Algorithms and ApplicationsPrivacy-Preserving Technologies in Data

Cited by 4

Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan

Yin, Y., Looney, P., & Collins, S. L. (2020) · Medical Imaging 2020: Computer-Aided Diagnosis

Medical Image Segmentation TechniquesRetinal Imaging and Analysis

Cited by 4

Single-shot blind uniform motion deblurring with ringing reduction

Shah, M. J., & Dalal, U. (2017) · The Imaging Science Journal

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 4

Formalizing IMO Problems and Solutions in Isabelle/HOL

Marić, F., & Stojanović-Đurđević, S. (2020) · Electronic Proceedings in Theoretical Computer Science

Logic, programming, and type systemsMathematics, Computing, and Information Processing

Cited by 4

SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection

Han, B., Li, J., Ren, W., Luo, M., Liu, J., & Cao, X. (2023) · Proceedings of the 2023 ACM International Conference on Multimedia Retrieval

Digital Media Forensic DetectionFace recognition and analysis

Cited by 4

Diagnosing and Addressing Emergent Harms in the Design Process of Public AI and Algorithmic Systems

Nouws, S., Martinez De Rituerto De Troya, Í., Dobbe, R., & Janssen, M. (2023) · Proceedings of the 24th Annual International Conference on Digital Government Research

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 4

Warehouse Robot Detection for Human Safety Using YOLOv8

Pitts, H. (2024) · SoutheastCon 2024

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 4

Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers

Dinkel, H., Wang, Y., Yan, Z., Zhang, J., & Wang, Y. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 4

Unsupervised adaptation to improve fault tolerance of neural network classifiers

Nugent, A., Kenyon, G., & Porter, R. (2004) · Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004.

Neural Networks and ApplicationsFault Detection and Control Systems

Cited by 4

Correlated Errors in Large Language Models

Kim, E., Garg, A., Peng, K., & Garg, N. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 4

I, for one, welcome our new computer overlords

Booch, G. (2015) · IEEE Software

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 4

Generalization on the Unseen, Logic Reasoning and Degree Curriculum

Abbe, E., Bengio, S., Lotfi, A., & Rizk, K. (2023) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 4

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Mattern, J., Mireshghallah, F., Jin, Z., Schölkopf, B., Sachan, M., & Berg-Kirkpatrick, T. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 4