Check computer science papers: citations, claims and retractions

CodeExp: Explanatory Code Document Generation

Cui, H., Wang, C., Huang, J., Inala, J. P., Mytkowicz, T., Wang, B., Gao, J., & Duan, N. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 2

PrismX: A Single-Machine System for Querying Big Graphs

Liu, S., Liu, Y., & Fan, W. (2024) · Proceedings of the VLDB Endowment

Graph Theory and AlgorithmsAdvanced Database Systems and Queries

Cited by 2

KernelBench: Can LLMs Write Efficient GPU Kernels?

Ouyang, A., Guo, S., Arora, S., Zhang, A. L., Hu, W., Ré, C., & Mirhoseini, A. (2025) · arXiv

Parallel Computing and Optimization TechniquesSoftware Engineering Research

Cited by 2

Exfiltration of personal information from ChatGPT via prompt injection

Schwartzman, G. (2024) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 2

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks

Wang, Y., Feng, S., Hou, A. B., Pu, X., Shen, C., Liu, X., Tsvetkov, Y., & He, T. (2024) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 2

MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems

Xiong, W., Zhou, Y., Wang, J., Gu, S., Tang, B., Li, Z., Xiong, F., Wen, Y., & Wen, M. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2

TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization

Yao, D., Shen, B., Lin, Z., Liu, W., Luan, J., Wang, B., & Wang, W. (2025) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 2

Task-Specific Skill Localization in Fine-tuned Language Models

Panigrahi, A., Saunshi, N., Zhao, H., & Arora, S. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 2

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Jiang, B., Xie, Y., Hao, Z., Wang, X., Mallick, T., Su, W. J., Taylor, C. J., & Roth, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Evaluation of NeMo Guardrails as a Firewall for User–LLM Interaction

Azambuja, A. J., Guilherme, M., Castro, J. V. F. D., Lima, J. P. D. O., Oliveira, L. B., & Soares, A. D. S. (2026) · Future Internet

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 2

Single shot 2D3D image regisraton

Xie, Y., Meng, C., Guan, S., & Wang, Q. (2017) · 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 2

A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation

Fogliato, R., Patil, P., Monfort, M., & Perona, P. (2024) · arXiv

Machine Learning and Data ClassificationSurvey Sampling and Estimation Techniques

Cited by 2

Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks

Ha, S. S., Foerster, F., Doebbert, T. R., Kittel, T., Merli, D., & Scholl, G. (2025) · arXiv

Cybersecurity and Information SystemsSoftware-Defined Networks and 5G

Cited by 2

Echo-ID: Smart User Identification Leveraging Inaudible Sound Signals

Ali Shah, S. W., Shaghaghi, A., Kanhere, S. S., Zhang, J., Anwar, A., & Doss, R. (2020) · IEEE Access

User Authentication and Security SystemsBiometric Identification and Security

Cited by 2

Exposure to Marginally Abusive Content on Twitter

Bandy, J., & Lazovich, T. (2023) · Proceedings of the International AAAI Conference on Web and Social Media

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 2

Box-To-Box Transformations for Modeling Joint Hierarchies

Dasgupta, S. S., Li, X. L., Boratko, M., Zhang, D., & McCallum, A. (2021) · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)

Advanced Graph Neural NetworksTopic Modeling

Cited by 2

Data-Specific Functions: A Comment on Kindel et al.

Fisher, J. C. (2018) · Socius Sociological Research for a Dynamic World

Research Data Management PracticesData Analysis and Archiving

Cited by 2

Muon is scalable for llm training

Liu, J., Su, J., Yao, X., Jiang, Z., Lai, G., Du, Y., Qin, Y., Xu, W., Lu, E., Yan, J., et al. (2025) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 2

Code Obfuscation in CI/CD Pipelines for Enhanced DevOps Security

Afifah, A. S., Kabetta, H., Setia Buana, I. K., & Setiawan, H. (2024) · 2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD)

Security and Verification in ComputingSoftware Engineering Research

Cited by 2

SEM-OS: Memory Operating System for Conversational LLMs

Ochej, S. (2026) · Zenodo

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 2

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract)

Peng, Z., Luo, M., Li, J., Xue, L., & Zheng, Q. (2023) · 2023 IEEE 39th International Conference on Data Engineering (ICDE)

Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks

Cited by 2

Emotion Classification With Visibility Graphs

Şimşek, E., Topcu, A., Koç, E., Saritas, E. U., & Koç, A. (2025) · IEEE Signal Processing Letters

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 2

Research on Large Language Model-Based Bibliographic Cataloging Agent in the CNMARC Context

Tan, Z., Yang, X., Chen, Q., & Chen, T. (2026) · Publications

Library Science and Information SystemsTopic Modeling

Cited by 2

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Gioacchini, L., Siracusano, G., Sanvito, D., Gashteovski, K., Friede, D., Bifulco, R., & Lawrence, C. (2024) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 2