Check computer science papers: citations, claims and retractions

Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors

Baldassarre, F., Debard, Q., Pontiveros, G. F., & Wijaya, T. K. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Digital Media Forensic Detection

Cited by 1

Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Ye, B., Li, R., Yang, Q., Liu, Y., Yao, L., Lv, H., Xie, Z., An, C., Li, L., Kong, L., et al. (2026) · arXiv

Adversarial Robustness in Machine LearningNatural Language Processing Techniques

Cited by 1

Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

Nguyen-Le, H.-H., Tran, V.-T., Nguyen, D.-T., & Le-Khac, N.-A. (2025) · Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence

Digital Media Forensic DetectionDomain Adaptation and Few-Shot Learning

Cited by 1

User Behavior Analytics for Insider Threat using Transformer Based Approach

Kumari Mahato, A., Pokhrel, R., & Prakash Mahato, O. (2026) · International Journal of Communication Systems and Network Technologies

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 1

Scalable Training of Mixture-of-Experts Models with Megatron Core

Yan, Z., Bai, H., Yao, X., Liu, D., Liu, T., Liu, H., Li, P., Wu, E., Fan, S., Tao, L., et al. (2026) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1

Learning to Compress Prompt in Natural Language Formats

Chuang, Y.-N., Xing, T., Chang, C.-Y., Liu, Z., Chen, X., & Hu, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

A Surveillance System Focused On Approved Blockchains and Computation of Edges

Victor Benevent Raj, A., Srikanth, B., Thilagavathy, A., & Mathivanan, B. (2021) · Journal of Physics: Conference Series

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 1

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Yu, H., Chen, T., Feng, J., Chen, J., Dai, W., Yu, Q., Zhang, Y.-Q., Ma, W.-Y., Liu, J., Wang, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

ARB-LLM: Alternating Refined Binarizations for Large Language Models

Li, Z., Yan, X., Zhang, T., Qin, H., Xie, D., Tian, J., shi, Z., Kong, L., Zhang, Y., & Yang, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 1

Quantifying and Localizing Usable Information Leakage from Neural Network Gradients

Mo, F., Borovykh, A., Malekzadeh, M., Demetriou, S., Gündüz, D., & Haddadi, H. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

Guo, M.-H., Xu, J., Zhang, Y., Song, J., Peng, H., Deng, Y.-X., Dong, X., Nakayama, K., Geng, Z., Wang, C., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Huang, C., Yu, W., Wang, X., Zhang, H., Li, Z., Li, R., Huang, J., Mi, H., & Yu, D. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Digital quantum simulation of molecular dynamics and control

Magann, A. B., Grace, M. D., Rabitz, H. A., & Sarovar, M. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1

Residual Matrix Transformers: Scaling the Size of the Residual Stream

Mak, B., & Flanigan, J. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 1

Classifying the classifier: dissecting the weight space of neural networks

Gabriel, E., Daniel, J., Timo, R., Jonas, U., & Anders, Y. (2020) · Frontiers in Artificial Intelligence and Applications

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 1

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Su, D., Zhu, H., Xu, Y., Jiao, J., Tian, Y., & Zheng, Q. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

VoiceWukong: Benchmarking Deepfake Voice Detection

Yan, Z., Zhao, Y., & Wang, H. (2024) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 1

Delegated agency and moral responsibility in artificial intelligence

Radanliev, P. (2026) · Frontiers in Artificial Intelligence

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 1

Diagnosing and Repairing Citation Failures in Generative Engine Optimization

Tian, Z., Chen, Y., Tang, Y., Liu, J., & Jia, R. (2026) · arXiv

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 1

Assessing AI-Generated vs. Human-Authored Spear Phishing SMS Attacks: An Empirical Study

Francia, J., Hansen, D., Schooley, B., Taylor, M., Murray, S. V., Cornelius, R., & Snow, G. (2024) · arXiv

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 1

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity

Yang, Y., Qu, C., Wen, M., Shi, L., Wen, Y., Zhang, W., Wierman, A., & Gu, S. (2026) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 1

Studying the Interplay between Information Loss and Operation Loss in Representations for Classification

Silva, J. F., Tobar, F., Vicuña, M., & Cordova, F. (2021) · arXiv

Machine Learning and Data ClassificationAdvanced Data Compression Techniques

Cited by 1

ImageNot: A contrast with ImageNet preserves model rankings

Salaudeen, O., & Hardt, M. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Zverev, E., Abdelnabi, S., Tabesh, S., Fritz, M., & Lampert, C. H. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1