Most cited computer science papers
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Identifying universal safety signs using computer vision for an assistive feedback mobile application
Mishra, A., Raj, N., Bodhe, S., & Bajwa, G. (2022) · 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)
Advanced Neural Network ApplicationsAssistive Technology in Communication and Mobility
Cited by 1
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Self-Cognition in Large Language Models: An Exploratory Study
Chen, D., Shi, J., Wan, Y., Zhou, P., Gong, N. Z., & Sun, L. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention
Gao, B., He, Z., Sharma, P., Kang, Q., Jevdjic, D., Deng, J., Yang, X., Yu, Z., & Zuo, P. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
Chen, B., Wongso, W., Li, Z., Khaokaew, Y., Xue, H., & Salim, F. D. (2026) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 1
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XTRUST: On the multilingual trustworthiness of large language models
Li, Y., Wang, Y., Chang, Y., & Wu, Y. (2024) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 1
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No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Krumdick, M., Lovering, C., Reddy, V., Ebner, S., & Tanner, C. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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The Coverage-Deferral Trade-Off: Fairness Implications of Conformal Prediction in Human-in-the-Loop Decision Systems
Tasar, D. E. (2025) · Preprints.org
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 1
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Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution
Qiu, J., Qi, X., Zhang, T., Juan, X., Guo, J., Lu, Y., Wang, Y., Yao, Z., Ren, Q., Jiang, X., et al. (2025) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence Applications
Cited by 1
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BenNumEval: A Benchmark to Assess LLMs’ Numerical Reasoning Capabilities in Bengali
Ahmed, K., Osama, M., Sharif, O., Hossain, E., & Hoque, M. M. (2025) · Findings of the Association for Computational Linguistics: ACL 2025
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Median Filter Helps Lymph Node Segmentation in Deep Learning via PET/CT
Zhang, X., Liao, W., & Xu, G. (2021) · 2021 4th International Conference on Digital Medicine and Image Processing
Medical Image Segmentation TechniquesAI in cancer detection
Cited by 1
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ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
Li, M., Zeng, Y., Cheng, Z., Ma, C., & Jia, K. (2025) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 1
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Mobile Makerspace Carts: A Practical Model to Transcend Access and Space
Smith, S. (2017) · Advances in Mobile and Distance Learning
Teaching and Learning ProgrammingBiomedical and Engineering Education
Cited by 1
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metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Kipnis, A., Voudouris, K., Buschoff, L. M. S., & Schulz, E. (2024) · arXiv
Topic ModelingMachine Learning and Data Classification
Cited by 1
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Characterizing Warp Divergence from Pascal to Blackwell
Dale, A. (2026) · arXiv
Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques
Cited by 1
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Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Huang, K.-H., Laban, P., Fabbri, A. R., Choubey, P. K., Joty, S., Xiong, C., & Wu, C.-S. (2023) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 1
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Cipher Image Damage: An Application of Filters
Flores-Carapia, R., Silva-García, V. M., Luna-Benoso, B., & Rentería-Márquez, C. (2015) · Polibits
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 1
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From Self-Learning to Self-Evolving Architectures in Large Language Models: A Short Survey
Sapkota, R., Roumeliotis, K. I., Pokhrel, S., & Karkee, M. (2025)
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1
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TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents
Li, K., Yu, X., Ni, Z., Zeng, Y., Xu, Y., Zhang, Z., Li, X., Sang, J., Duan, X., Wang, X., et al. (2026) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 1
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DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
Zhang, J., Fan, Y., Cai, K., Huang, Z., Sun, X., Wang, J., Tang, C., & Wang, K. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Generative Adversarial Networks and Image SynthesisTopic Modeling
Cited by 1
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TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring
Lee, G., Chay, W., Cho, S., & Choi, E. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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A Usage-centric Take on Intent Understanding in E-Commerce
Zhou, W., Li, T., Vougiouklis, P., Steedman, M., & Pan, J. Z. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Recommender Systems and TechniquesSemantic Web and Ontologies
Cited by 1
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MiVOLO: Multi-input Transformer for Age and Gender Estimation
Kuprashevich, M., & Tolstykh, I. (2023) · arXiv
Face recognition and analysisAdvanced Neural Network Applications
Cited by 1
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Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack
Wang, H., Li, H., Mang, Q., Cheung, A., Sen, K., & Song, D. (2026) · arXiv
Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques
Cited by 1
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Natural Emergent Misalignment from Reward Hacking in Production RL
MacDiarmid, M., Wright, B., Uesato, J., Benton, J., Kutasov, J., Price, S., Bouscal, N., Bowman, S., Bricken, T., Cloud, A., et al. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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