Check computer science papers: citations, claims and retractions

Learning Analytics for Dual Education: A Privacy-Preserving Framework Bridging Campus and Workplace Competencies

Abu-Arqoub, M. H., Shafiq Abdulla, A., Titinchi, A. A., & Rafiq Marie, R. (2026) · 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA)

Online Learning and AnalyticsEngineering Education and Curriculum Development

Cited by 0

What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation

Tan, S., Zhu, D., Tran, K., Denkowski, M., Trenous, S., Byrne, B., Ribeiro, L., & Hieber, F. (2026) · arXiv

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 0

Assessing Academic Library Collections for Diversity, Equity, and Inclusion

Kohn, K. C. (2025) · Bloomsbury Academic eBooks

Library Collection Development and Digital ResourcesLibrary Science and Administration

Cited by 0

TileLang: A Composable Tiled Programming Model for AI Systems

Wang, L., Cheng, Y., Shi, Y., Tang, Z., Mo, Z., Xie, W., Ma, L., Xia, Y., Xue, J., Yang, F., et al. (2025) · arXiv

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

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Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting

Gao, X., Xie, W., Lixin, Fang, X., Hang, C., Li, C., Lin, Y., & Xu, X. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence

Natural Language Processing TechniquesTopic Modeling

Cited by 0

LatentMoE: Toward Optimal Accuracy per FLOP and Parameter in Mixture of Experts

Elango, V., Bhatia, N., Waleffe, R., Shafipour, R., Asida, T., Khattar, A., Assaf, N., Golub, M., Guman, J., Mitra, T., et al. (2026) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

Feng, Z., Su, L., Zhang, Z., Wang, X., Zhang, X., Wang, X., Fang, R., Zhang, Q., Li, B., Cai, S., et al. (2026) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

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LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

Tummalapalli, P., Arayakandy, S., Pal, R., & Kundan, K. (2026) · arXiv

Parallel Computing and Optimization TechniquesIoT and Edge/Fog Computing

Cited by 0

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation

Lin, C., Chen, K., & Zhang, W. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Do You Need a Frontier Model as a Citation Verifier? Benchmarking Rubric LLMs for Deep-Research Source Attribution

Leung, E., Lumer, E., Feld, C., Huber, A., Subbiah, V. K., & Paul, K. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Depth-Cooperated Trimodal Network for Video Salient Object Detection

Lu, Y., Min, D., Fu, K., & Zhao, Q. (2022) · arXiv

Visual Attention and Saliency DetectionAdvanced Neural Network Applications

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A Study on Broker-Assisted Blockchain Trust Chains for Provenance and Integrity Verification of Generative Media Using Watermarking, Semantic Fingerprinting, and C2PA

Yang, C., & Kim, M. (2026) · Applied Sciences

Blockchain Technology Applications and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 0

ReproAgent: Contract-Guided Paper-to-Code Reproduction

Hu, X., Pan, Z., Wang, Z., Liu, Z., Su, Z., & Zhang, W. (2026) · arXiv

Software Engineering ResearchScientific Computing and Data Management

Cited by 0

Large Language Models Often Know When They Are Being Evaluated

Needham, J., Edkins, G., Pimpale, G., Bartsch, H., & Hobbhahn, M. (2025) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

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Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Hsieh, C.-Y., Chuang, Y.-S., Li, C.-L., Wang, Z., Le, L. T., Kumar, A., Glass, J., Ratner, A., Lee, C.-Y., Krishna, R., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

From Regulation to Realization: How the U.S. Crypto Laws of 2025 Could Redefine Dollar Dominance in a Blockchain Economy

Cao, S. (2025) · SSRN Electronic Journal

Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance

Cited by 0

Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction

Yang, L., Yang, P., Peng, X., Wang, X., & Qi, J. (2025) · 2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 0

Aligning Agentic World Models via Knowledgeable Experience Learning

Ren, B., Yao, Y., Sun, R., Qiao, S., Zhang, N., & Chen, H. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

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Human-AI Co-Creation in Visual Communication Design: A Framework and Empirical Study

Zhang, D. (2026) · Proceedings of the 2026 International Conference on Artificial Intelligence and Generative Design

Digital Media and Visual ArtDesign Education and Practice

Cited by 0

Privacy Preserving Federated Learning for Student Dropout Prediction Using Sensor and EMA Data

Nadim, M. A., Marsico, E., & Di Fuccio, R. (2025) · 2025 3rd International Conference on Foundation and Large Language Models (FLLM)

Privacy-Preserving Technologies in DataOnline Learning and Analytics

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Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time

Tan, D., Woodruff, A., Warncke, N., Jose, A., Riché, M., Africa, D. D., & Taylor, M. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Li, W., Lin, Y., Xia, M., & Jin, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Retrieval Beats Cheap Structured Memory: A Cost–Retention Study of LLM Agent Memory on Real Long-Conversation Benchmarks

Gautam, I., & K.C., K. (2026) · Preprints.org

Speech and dialogue systemsTopic Modeling

Cited by 0

A Survey of Anomaly Detection and Root Cause Analysis Techniques for Artificial Intelligence for IT Operations (AIOps) in Large-Scale Software Systems

Yu, E. (2026) · 2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA)

Software System Performance and ReliabilityFault Detection and Control Systems

Cited by 0