Check computer science papers: citations, claims and retractions

Towards Enterprise-Ready Computer Using Generalist Agent

Marreed, S., Oved, A., Yaeli, A., Shlomov, S., Levy, I., Akrabi, O., Sela, A., Adi, A., & Mashkif, N. (2025) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Correction-aware interactive 3D tumor segmentation with sparse and revisable prompts

Li, H., & Li, H. (2026) · The Visual Computer

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 0

DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively

Weng, Y., Zhu, M., Xie, Q., Sun, Q., Lin, Z., Liu, S., & Zhang, Y. (2025) · arXiv

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 0

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey

Zhu, J., Zhu, M., Rui, R., Shan, R., Zheng, C., Chen, B., Xi, Y., Lin, J., Liu, W., Tang, R., et al. (2025) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 0

AI-Assisted Teaching and Learning: A Real Application Of Course Design, Assessment and Evaluation in Higher Education

Wang, J., Li, Y., & Qian, Y. (2025) · Proceedings of the 2025 9th International Conference on Education and Multimedia Technology

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization

Yuan, J., Wang, J., Wang, Z., Sun, Q., Wang, R., & Li, J. (2026) · arXiv

Information Retrieval and Search BehaviorDigital Marketing and Social Media

Cited by 0

Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning

Zhang, X., Yi, J., & Tao, J. (2024) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

OjaKV: Context-Aware Online Low-Rank KV Cache Compression

Zhu, Y., Yang, D. H., Amiri, M. M., Murugesan, K., Pedapati, T., & Chen, P.-Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid

Sun, W., Lan, D., Zhong, Y., Qu, X., & Cheng, Y. (2025) · arXiv

Parallel Computing and Optimization TechniquesTopic Modeling

Cited by 0

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity

Zhang, H., Cui, Z., Chen, J., Wang, X., Zhang, Q., Wang, Z., Wu, D., & Hu, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents

Li, D., Tan, Z., Qian, P., Li, Y., Chaudhary, K. S., Hu, L., & Shen, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Computational Complexity of Quadratic Unconstrained Binary Optimization

Yasuoka, H. (2021) · arXiv

Complexity and Algorithms in GraphsQuantum Computing Algorithms and Architecture

Cited by 0

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models

Anjum, M. F. (2024) · arXiv

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 0

From AI Literacy to AI Fluency: A Developmental Framework for Higher Education

Zentner, A. (2026) · SSRN Electronic Journal

Artificial Intelligence in EducationDigital literacy in education

Cited by 0

Platonic Representation Hypothesis on World Models

Li, W., MA, C., Xiong, H., Chen, Y.-C., & Zhang, L. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

Jiang, D., Li, Y., Wei, S., Yang, J., Kishore, A., Zhao, A., Kang, D., Hu, X., Chen, F., Li, Q., et al. (2026) · arXiv

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 0

Artifacts: When AIOps Become "AI Oops": Subverting LLM-driven IT Operations via Telemetry Manipulation

Pasquini, D., & Efstathopoulos, P. (2025) · Zenodo

Adversarial Robustness in Machine LearningSoftware System Performance and Reliability

Cited by 0

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Zhu, C., Xu, B., Du, M., Wang, S., Wang, X., Mao, Z., & Zhang, Y. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Harness Engineering for Software Engineering via Modular Executable Dev-Primitives

Jin, H., Li, X., Kuang, P., & Wang, H. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Measuring all the noises of LLM Evals

Wang, S. I. (2025) · arXiv

Topic ModelingMachine Learning and Data Classification

Cited by 0

EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use

Wen, S., Wang, Z., Zhang, X., Huang, L., & Wu, W. (2026) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 0

Reflections on Trusting Trust, Revisited: Contaminating Self-Modifying AI Coding Agents with Poisoned Benchmarks

Roesner, F., & Kohno, T. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

PolicyKG: An Agentic LLM Pipeline for Translating Institutional Policies into SHACL Knowledge Graphs

Kaewsawee, P., Silpasuwanchai, C., & Anutariya, C. (2026) · arXiv

Semantic Web and OntologiesArtificial Intelligence in Law

Cited by 0

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

Zhuang, C., Huang, A., Hu, Y., Wu, J., Cheng, W., Liao, J., Wang, H., Liao, X., Cai, W., Xu, H., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0