Check computer science papers: citations, claims and retractions

Critique Ability of Large Language Models

Luo, L., Lin, Z., Liu, Y., Shu, L., Zhu, Y., Shang, J., & Meng, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Keeping the Cache Warm Pays: Keepalive Economics for Agentic Workloads

Khailo, M. (2026) · arXiv

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0

Compile Away Uncertainty: Self-Evolving Agent Skills via Programmatic Compilation

Yang, C., Zheng, Y., Li, Z., Li, J., Lan, B., Liu, X., Zhang, X., Chen, X., & Hu, M. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 0

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

Lu, W., Zeng, Z., Wang, J., Lu, Z., Chen, Z., Zhuang, H., Chen, C., & Peng, H. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0

In-Place Test-Time Training

Feng, G., Luo, S., Hua, K., Zhang, G., He, D., Huang, W., & Cai, T. (2026) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Responsible Use of Generative AI in the Context of a Capstone Electrical Engineering Project

Mohammed, C., & Rocke, S. (2026) · 2026 IEEE Engineering Education World Conference (EDUNINE)

Artificial Intelligence in EducationAcademic integrity and plagiarism

Cited by 0

MOSS Transcribe Diarize Technical Report

AI, M., :, Yu, D., Lin, Z., Chen, H., Yang, C., Zhang, Y., Chen, J., Chen, K., Fan, L., et al. (2026) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

The AI Hippocampus: How Far are We From Human Memory?

Jia, Z., Li, J., Kang, Y., Wang, Y., Wu, T., Wang, Q., Wang, X., Zhang, S., Shen, J., Li, Q., et al. (2026) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task

Martorell, N. (2025) · arXiv

Semantic Web and OntologiesData Management and Algorithms

Cited by 0

Feasibility of Cryptography In a Blockchain-Enhanced ICS Security

Kamal, K., Islam, R., & Rahman, A. (2026) · Companion Proceedings of the ACM Web Conference 2026

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 0

The Ethical Gap in Educational Data Mining and Learning Analytics: A Systematic Review of Privacy, Bias, and Governance (2020-2024)

Vellore Institute of Technology, I., Sharma, H., Kapoor, G., Vellore Institute of Technology, I., Singh, A., & Vellore Institute of Technology, I. (2025) · Bulletin of Computer and Data Sciences

Online Learning and AnalyticsEthics and Social Impacts of AI

Cited by 0

Can LLMs Enable Verification in Mainstream Programming?

Shefer, A., Engel, I., Alekseev, S., Berezun, D., Verbitskaia, E., & Podkopaev, A. (2025) · arXiv

Logic, programming, and type systemsSoftware Engineering Research

Cited by 0

AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in Enterprise

Bogavelli, T., Sharma, R., & Subramani, H. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

CompactPrompt: A Unified Pipeline for Prompt Data Compression in LLM Workflows

Choi, J. H., Zhao, J., Shah, J., Sonawane, R., Singh, V., Appalla, A., Flanagan, W., & Condessa, F. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought

Chua, J., Rees, E., Batra, H., Bowman, S. R., Michael, J., Perez, E., & Turpin, M. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 0

EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning

Zhang, B., Wang, C., & Wu, K. (2026) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 0

The Trust Tax of Privacy and Robustness: An Empirical Study Across Vision, NLP, and Tabular ML

Kandakatla, J. R. (2026) · 2026 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Understanding Robustness of Model Editing in Code LLMs

Chhetri, V., Fereidouni, M., Siddique, A. B., & Farooq, U. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning

Tan, W., Cao, Q., Xue, C., Zhan, Y., Ding, C., & He, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 0

SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activation

Jiang, H., Chen, J., Pan, Y., Chen, L., You, W., Zhou, Y., Zhang, R., Sikora, A., Zhao, L., Abate, Y., et al. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering

Shi, J., Zhou, S., Jin, B., Hu, W., Tian, R., Wang, S., Narasimhan, G., & Han, J. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RL

Pu, S. X., Weng, Z., Liu, C., Srinivasa, J., Liu, G., Wang, W. Y., & Wang, X. E. (2026) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Accelerating intra-party communication in vertical federated learning with RDMA

Liu, D. (2021)

Privacy-Preserving Technologies in DataDistributed systems and fault tolerance

Cited by 0

Prefix Sharing Is a Sorting Problem

He, R. (2026) · arXiv

Algorithms and Data CompressionTopic Modeling

Cited by 0