Most cited computer science papers
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P-HNSW: Crash-Consistent HNSW for Vector Databases on Persistent Memory
Lee, H., Park, T., Na, Y., & Kim, W.-H. (2025) · Applied Sciences
Advanced Database Systems and QueriesAdvanced Data Storage Technologies
Cited by 1
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Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
Zhang, Y., Mao, Y., Wang, H., Yu, Z., Guo, S., Zhang, J., Wang, L., & Guo, B. (2025) · IEEE Transactions on Mobile Computing
Robotics and Sensor-Based LocalizationIoT and Edge/Fog Computing
Cited by 1
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LightThinker: Thinking Step-by-Step Compression
Zhang, J., Zhu, Y., Sun, M., Luo, Y., Qiao, S., Du, L., Zheng, D., Chen, H., & Zhang, N. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Sagirova, A., Kuratov, Y., & Burtsev, M. (2025) · arXiv
Reinforcement Learning in RoboticsRobotic Path Planning Algorithms
Cited by 1
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An Energy-efficient and Accurate Object Detection Design for Mobile Applications
Chen, K.-H., Wang, J.-H., & Su, C.-W. (2022) · 2022 IEEE International Conference on Consumer Electronics - Taiwan
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 1
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A novel multimodal approach for emotion recognition using Text, Speech, and Facial Expression data
Joshi, N., & Kumar Khare, R. (2024) · Cuestiones de Fisioterapia
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 1
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Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
Jiang, B., Hao, Z., Cho, Y.-M., Li, B., Yuan, Y., Chen, S., Ungar, L., Taylor, C. J., & Roth, D. (2025) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 1
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Replace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence Assembly
Lahmy, M., & Yozevitch, R. (2025) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 1
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HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
Hu, T., Yu, Z., Zhou, Z., Liang, S., Zhou, Y., Lin, Q., & Lu, Q. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 1
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What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
Richardson, R. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering
Zheng, X., Che, F., Wu, J., Zhang, S., Nie, S., Liu, K., & Tao, J. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 1
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Bag of Tricks for Inference-time Computation of LLM Reasoning
Liu, F., Chao, W., Tan, N., & Liu, H. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models
Fang, J., Wang, Y., Wang, R., Yao, Z., Wang, K., Zhang, A., Wang, X., & Chua, T.-S. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
Lake, T., Choi, E., & Durrett, G. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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Real-time 3D Perception System of Construction Equipment for Autonomous Mobile Robots
Chung, D., Im, S., Kim, Y., & Kim, H. (2025) · Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)
Robotics and Sensor-Based LocalizationAdvanced Neural Network Applications
Cited by 1
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Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
Abbas, U., Ouzzani, M., Eltabakh, M. Y., Sinan, O., Bhatia, G., Mubarak, H., Hawasly, M., Hashim, M. Q., Darwish, K. M., & Alam, F. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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Gated Delta Networks: Improving Mamba2 with Delta Rule
Yang, S., Kautz, J., & Hatamizadeh, A. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Wei, J., Durrett, G., & Dillig, I. (2023) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 1
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Language Representations Can be What Recommenders Need: Findings and Potentials
Sheng, L., Zhang, A., Zhang, Y., Chen, Y., Wang, X., & Chua, T.-S. (2024) · arXiv
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 1
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Designing Responsible AI with Indigenous Communities: Towards Participatory AI with ovaHimba and San People in Namibia
Indongo, N. N., Smith, R. C., Winschiers-Theophilus, H., Kandjengo, S., & Mbinge, U. (2026) · Proceedings of the 19th Participatory Design Conference 2026, Vol. 1: Full Papers
Ethics and Social Impacts of AIICT in Developing Communities
Cited by 1
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LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
Li, C., Phuong, M., & Siegel, N. Y. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions
Huang, I., Krishna, V., Atekha, O., & Guibas, L. (2023) · arXiv
3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis
Cited by 1
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Connecting Context-specific Adaptation in Humans to Meta-learning
Dubey, R., Grant, E., Luo, M., Narasimhan, K., & Griffiths, T. (2020) · arXiv
Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics
Cited by 1
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Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity
Fu, Y., & Nederhof, M.-J. (2021) · arXiv
Natural Language Processing TechniquesTranslation Studies and Practices
Cited by 1
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