Most cited computer science papers
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MDP3: A training-free approach for list-wise frame selection in video-LLMs
Sun, H., Lu, S., Wang, H., Chen, Q.-G., Xu, Z., Luo, W., Zhang, K., & Li, M. (2025) · arXiv
Multimodal Machine Learning ApplicationsVideo Analysis and Summarization
Cited by 0
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Embarrassingly Simple Self-Distillation Improves Code Generation
Zhang, R., Bai, R. H., Zheng, H., Jaitly, N., Collobert, R., & Zhang, Y. (2026) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 0
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OmniGen2: Towards Instruction-Aligned Multimodal Generation
Wu, C., Zheng, P., Yan, R., Xiao, S., Luo, X., Wang, Y., Li, W., Jiang, X., Liu, Y., Zhou, J., et al. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 0
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CiteEval: Principle-Driven Citation Evaluation for Source Attribution
Xu, Y., Qi, P., Chen, J., Liu, K., Han, R., Liu, L., Min, B., Castelli, V., Gupta, A., & Wang, Z. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 0
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EviAgent: Evidence-Driven Agent for Radiology Report Generation
Qi, T., Bu, S., Xiang, Y., & Dai, Z. (2026) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 0
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Digital Image Noise Reduction Application with Mean And Median Filter Method
Rangkuti, R. F. (2021) · Instal : Jurnal Komputer
Image and Signal Denoising MethodsImage Enhancement Techniques
Cited by 0
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EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Song, X., Chang, H., Dong, G., Zhu, Y., Wen, J.-R., & Dou, Z. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
Zhang, C., Liu, Z., & Song, D. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 0
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Effective Strategies for Asynchronous Software Engineering Agents
Geng, J., & Neubig, G. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
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Convergent Linear Representations of Emergent Misalignment
Soligo, A., Turner, E., Rajamanoharan, S., & Nanda, N. (2025) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 0
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DINOv3 Beats Specialized Detectors: A Simple Foundation Model Baseline for Image Forensics
Yu, J., Feng, Q., Wang, Z., & Ma, X. (2026) · arXiv
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 0
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Öğretmenlerin web 2.0 araçlarını kullanma yeterliliklerinin incelenmesi
KİRAZ, Y. (2024) · Zenodo
Digital literacy in educationEducational Technology in Learning
Cited by 0
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TSLA: A Multi-Task Time Series Language Model
Fang, L., Chen, Y., Yu, W., Liu, Y., Tang, L.-A., Torvik, V. I., & Chen, H. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Time Series Analysis and ForecastingMultimodal Machine Learning Applications
Cited by 0
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SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications
Cheng, Y., Chen, H., Gao, P., & Cheng, W. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
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EdgeHive: Federated Learning on IoT Clusters in Unreliable Networks
Gupta, R. (2025) · 2025 13th International Conference on Intelligent Systems and Embedded Design (ISED)
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 0
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Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
Zhu, X., Cai, Y., Liu, Z., Zheng, B., Wang, C., Ye, R., Zhang, Y., Zhang, L., E, W., Chen, S., et al. (2026) · arXiv
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 0
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Research on the protection and governance of education data privacy in the era of artificial intelligence
Liang, X., Sun, R., & Wu, Q. (2025) · Second International Conference on Optical Communication and Optoelectronic Technology (OCOT 2025)
Privacy-Preserving Technologies in DataArtificial Intelligence in Education
Cited by 0
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Benchmarking LLMs' Swarm intelligence
Ruan, K., Huang, M., Wen, J.-R., & Sun, H. (2025) · arXiv
Distributed Control Multi-Agent SystemsModular Robots and Swarm Intelligence
Cited by 0
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Arithmetic Reasoning with LLM: Prolog Generation & Permutation
Yang, X., Chen, B., & Tam, Y.-C. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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Automatic Authorship Analysis in Human-AI Collaborative Writing
Richburg, A., Bao, C., & Carpuat, M. (2024) · Proceedings of the Language Resources and Evaluation Conference
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 0
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AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Toledo, E., Hambardzumyan, K., Josifoski, M., Hazra, R., Baldwin, N., Audran-Reiss, A., Kuchnik, M., Magka, D., Jiang, M., Lupidi, A. M., et al. (2025) · arXiv
Machine Learning and Data ClassificationEvolutionary Algorithms and Applications
Cited by 0
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DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
Yuan, Y., Zuo, P., Wang, B., Chen, Z., Tan, Z., & Yu, Z. (2026) · arXiv
Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems
Cited by 0
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Autoregressive Video Generation without Vector Quantization
Deng, H., Pan, T., Diao, H., Luo, Z., Cui, Y., Lu, H., Shan, S., Qi, Y., & Wang, X. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 0
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Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
Shinwari, H. U. K., & Usama, M. (2026) · IEEE Transactions on Artificial Intelligence
Speech and dialogue systemsTopic Modeling
Cited by 0
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