Check computer science papers: citations, claims and retractions

Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis

Shin, Y., Lee, C., Lee, G., & An, H.-C. (2023) · arXiv

Optimization and Search ProblemsAlgorithms and Data Compression

Cited by 0

The Effect of Using Augmented Reality to Lower Anxiety in Phobia Patients: Pengaruh Penggunaan Augmented Reality untuk Menurunkan Kecemasan pada Penderita Fobia

Anggara, O. F., Rahmasari, D., Savira, S. I., Dewi, D. K., Budiani, M. S., & Satiningsih, S. (2024) · Procedia of Social Sciences and Humanities

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 0

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

Gröger, F., Wen, S., & Brbić, M. (2026) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 0

Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs

Levine, J., Aenlle, M., Zilles, C., West, M., & Silva, M. (2026) · arXiv

Artificial Intelligence in EducationEducational Technology and Assessment

Cited by 0

What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators

Zhang, X. (2026) · arXiv

Reinforcement Learning in RoboticsExplainable Artificial Intelligence (XAI)

Cited by 0

Digital ordering system for restaurant using Android

Bhargave, A., Jadhav, N., Joshi, A., Prachi, O., & S R, L. (2013) · International Journal of Scientific and Research Publications (IJSRP)

Service-Oriented Architecture and Web ServicesMobile and Web Applications

Cited by 0

Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers

Qiu, Z., Huang, Z., Huang, Y., & Fu, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Enhanced Quishing Attack Detection using CNN

Kumar, R., Sehgal, S., & Sharma, R. (2026) · 2026 6th International Conference on Intelligent Technologies (CONIT)

Spam and Phishing DetectionNetwork Security and Intrusion Detection

Cited by 0

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning

Luo, Z., Tessler, C., Lin, T., Yuan, Y., He, T., Xiao, W., Guo, Y., Chechik, G., Kitani, K., Fan, L., et al. (2025) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 0

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

Le, T., Thai, M. V. T., Manh, D. N., Nhat, H. P., & Bui, N. D. Q. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation

Shi, W., Wang, Y., Zhao, Y., Chen, Y., Feng, F., Hao, X., Su, X., Gu, Q., Su, H., Cai, X., et al. (2026) · arXiv

AI-based Problem Solving and PlanningSoftware Testing and Debugging Techniques

Cited by 0

InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation

Zhao, W., Zhou, Z., Su, Z., Xiao, C., Li, Y., Li, Y., Zhang, Y., Zhao, W., Li, Z., Huang, Y., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning

Cao, J., Zhang, Q., Jia, P., Zhao, X., Lan, B., Zhang, X., Li, Z., Wei, X., Chen, S., Li, L., et al. (2025) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 0

Towards Transparent Reasoning: What Drives Faithfulness in Large Language Models?

McMillan, T., Dominici, G., Gjoreski, M., & Langheinrich, M. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 0

RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Zhang, X., Liu, Z., Zhang, Y., Hu, X., & Shao, W. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

A Natural Locomotion Virtual Environment Testbed

Pausch, R. F. (2006)

Virtual Reality Applications and ImpactsInteractive and Immersive Displays

Cited by 0

ICaRus: Identical Cache Reuse for Efficient Multi Model Inference

Woo, S., Kil, J., Kim, H., Kim, M., Kim, J., Seo, A., Lee, S., Jo, M., Ryu, J., Park, B., et al. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback

Pan, J., Shar, R., Pfau, J., Talwalkar, A., He, H., & Chen, V. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Retrospective Learning from Interactions

Chen, Z., Gul, M. O., Chen, Y., Geng, G., Wu, A., & Artzi, Y. (2024) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning

Li, X. (2024) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 0

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents

Dai, Z., Deng, S., Guan, S., Tian, Y., Yao, X., Yan, X., & Cheng, J. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Vellum of Lies: Designing and Evaluating a Multimodal Tangible Interaction System for Embodied Serious Historical Narratives

Hou, Y., Wang, S., Su, Z., Bi, L., Ye, X., & Zhang, Y. (2026) · Multimodal Technologies and Interaction

Interactive and Immersive DisplaysInnovative Human-Technology Interaction

Cited by 0

A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra, J. I. M., Camargo, V. V. D. A., Soares, R. I., Molter, A., & Machado, G. (2024) · Research Square

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

Mitigating Context Interference for Reliable and Efficient Search Agents

Xue, B., Wu, B., Qiao, S., Wang, S., Wang, R., Du, Y., Wang, H., Pan, J. Z., Yilmaz, E., Wong, K.-F., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0