Check computer science papers: citations, claims and retractions

How technology shapes network management

Bernstein, L., & Yuhas, C. M. (1989) · IEEE Network

Mobile Agent-Based Network ManagementAdvanced Database Systems and Queries

Cited by 6

Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling

Shi, H., Ghahremannezhad, H., & Liu, C. (2022) · 2022 IEEE International Conference on Imaging Systems and Techniques (IST)

Video Surveillance and Tracking MethodsAnomaly Detection Techniques and Applications

Cited by 6

On the Way to LLM Personalization: Learning to Remember User Conversations

Magister, L. C., Metcalf, K., Zhang, Y., & ter Hoeve, M. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 6

FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

Konstantinidis, T., Iacovides, G., Xu, M., Constantinides, T. G., & Mandic, D. (2024) · arXiv

Sentiment Analysis and Opinion MiningStock Market Forecasting Methods

Cited by 6

DafnyBench: A Benchmark for Formal Software Verification

Loughridge, C., Sun, Q., Ahrenbach, S., Cassano, F., Sun, C., Sheng, Y., Mudide, A., Misu, M. R. H., Amin, N., & Tegmark, M. (2024) · arXiv

Logic, programming, and type systemsFormal Methods in Verification

Cited by 6

Beyond winning and losing: Modeling human motivations and behaviors with vector-valued inverse reinforcement learning

Wang, B., Sun, T., & Zheng, X. S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 6

Exploring The Landscape of Distributional Robustness for Question Answering Models

Awadalla, A., Wortsman, M., Ilharco, G., Min, S., Magnusson, I., Hajishirzi, H., & Schmidt, L. (2022) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 6

Ethereum: What Lies Ahead

Mohanty, D. (2018) · Ethereum for Architects and Developers

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 6

A Survey on Code Generation with LLM-based Agents

Dong, Y., Jiang, X., Qian, J., Wang, T., Zhang, K., Jin, Z., & Li, G. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 6

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints

Zhu, M., Zecchin, M., Park, S., Guo, C., Feng, C., Popovski, P., & Simeone, O. (2025) · IEEE Transactions on Signal Processing

Distributed Sensor Networks and Detection AlgorithmsDistributed Control Multi-Agent Systems

Cited by 6

Fine-Tuning Language Models with Advantage-Induced Policy Alignment

Zhu, B., Sharma, H., Frujeri, F. V., Dong, S., Zhu, C., Jordan, M. I., & Jiao, J. (2023) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 6

Input Redundancy for Parameterized Quantum Circuits

Vidal, J. G., & Theis, D. O. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 6

Shoehorning in the name of science

Edlund, J. (2019) · Proceedings of the 1st International Conference on Conversational User Interfaces

Speech and dialogue systemsAI in Service Interactions

Cited by 6

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning

Liang, Y., Wu, H., Wang, H., & Cai, H. (2024) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 6

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code

Pan, R., Ibrahimzada, A. R., Krishna, R., Sankar, D., Wassi, L. P., Merler, M., Sobolev, B., Pavuluri, R., Sinha, S., & Jabbarvand, R. (2023) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 6

Root Cause and Liability Analysis in the Microservices Architecture for Edge IoT Services

Kalinagac, O., Soussi, W., Anser, Y., Gaber, C., & Gür, G. (2023) · ICC 2023 - IEEE International Conference on Communications

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 6

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation

Hassid, M., Remez, T., Gehring, J., Schwartz, R., & Adi, Y. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6

AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents

Tupe, V., & Thube, S. (2025)

Service-Oriented Architecture and Web ServicesSoftware System Performance and Reliability

Cited by 6

How Effectively Do Code Language Models Understand Poor-Readability Code?

Hu, C., Chai, Y., Zhou, H., Meng, F., Zhou, J., & Gu, X. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 6

A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression

Devoto, A., Zhao, Y., Scardapane, S., & Minervini, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

The Exact Sample Complexity Gain from Invariances for Kernel Regression

Tahmasebi, B., & Jegelka, S. (2023) · Advances in Neural Information Processing Systems 36

Machine Learning and AlgorithmsStochastic Gradient Optimization Techniques

Cited by 6

Energy-aware device drivers for embedded operating systems

Buschhoff, M., Falkenberg, R., & Spinczyk, O. (2019) · ACM SIGBED Review

Energy Efficiency in ComputingGreen IT and Sustainability

Cited by 6

View Enhanced Jigsaw Puzzle for Self-Supervised Feature Learning in 3D Human Action Recognition

You, W., & Wang, X. (2022) · IEEE Access

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 6

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H. R., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2023) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 6