Most cited computer science papers
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Relation-Aware Question Answering for Heterogeneous Knowledge Graphs
Du, H., Huang, Q., Li, C., Zhang, C., Li, Y., & Zhao, D. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Topic ModelingAdvanced Graph Neural Networks
Cited by 2
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MedScore: Generalizable Factuality Evaluation of Open-ended Long-form Medical Answers by Domain-adapted Claim Decomposition and Verification
Huang, H., DeLucia, A., Tiyyala, V. M., & Dredze, M. (2026) · Findings of the Association for Computational Linguistics: ACL 2026
Topic ModelingMisinformation and Its Impacts
Cited by 2
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Reward Collapse in Aligning Large Language Models
Song, Z., Cai, T., Lee, J. D., & Su, W. J. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
Atif, F., Askarbekuly, N., Darwish, K., & Choudhury, M. (2025) · arXiv
Topic ModelingArtificial Intelligence in Law
Cited by 2
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Deepfake Detection Using Transfer Learning
Khan, S. A., & Valles, D. (2024) · 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 2
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Lifelong knowledge editing for llms with retrieval-augmented continuous prompt learning
Chen, Q., Zhang, T., He, X., Li, D., Wang, C., Huang, L., & Xue’, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 2
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Cyber Sciences and Software Engineering
Mead, N. R., Gibson, D. S., & Hawthorne, E. K. (2015) · 2015 IEEE 28th Conference on Software Engineering Education and Training
Information Systems Education and Curriculum DevelopmentEngineering Education and Curriculum Development
Cited by 2
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A Framework for Dealing With Cybersecurity Risks as Part of Information Security
Spagnolo, M., Ndou, V., Giribaldi, D., & Arena, V. (2023) · Digitalization, Sustainable Development, and Industry 5.0
Information and Cyber SecurityInformation Technology Governance and Strategy
Cited by 2
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Qwen3-Omni Technical Report
Xu, J., Guo, Z., Hu, H., Chu, Y., Wang, X., He, J., Wang, Y., Shi, X., He, T., Zhu, X., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsSpeech Recognition and Synthesis
Cited by 2
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SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
Sun, S., Song, H., Wang, Y., Ren, R., Jiang, J., Zhang, J., Bai, F., Deng, J., Zhao, X., Liu, Z., et al. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025
Information Retrieval and Search BehaviorTopic Modeling
Cited by 2
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Artificial Quasi Moral Agency
Semler, J. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AILiterary and Philosophical Studies
Cited by 2
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LLMs are not just next token predictors
Downes, S. M., Forber, P., & Grzankowski, A. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Large Language Models vs. Search Engines: Evaluating User Preferences Across Varied Information Retrieval Scenarios
Caramancion, K. M. (2024) · arXiv
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 2
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FairProof : Confidential and Certifiable Fairness for Neural Networks
Yadav, C., Chowdhury, A. R., Boneh, D., & Chaudhuri, K. (2024) · arXiv
Cryptography and Data SecurityEthics and Social Impacts of AI
Cited by 2
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Building Living Software Systems with Generative & Agentic AI
White, J. (2024) · arXiv
Software Engineering Techniques and PracticesArtificial Intelligence Applications
Cited by 2
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RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
Liu, X., Yuan, G., Zhang, Y., Liu, S., & Yan, Q. (2025) · Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 2
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Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models
Venkatraman, S., Jain, V., Mittal, S., Shah, V., Obando-Ceron, J., Bengio, Y., Bartoldson, B. R., Kailkhura, B., Lajoie, G., Berseth, G., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Schaeffer, R., Schoelkopf, H., Miranda, B., Mukobi, G., Madan, V., Ibrahim, A., Bradley, H., Biderman, S., & Koyejo, S. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Learning Lie Group Symmetry Transformations with Neural Networks
Gabel, A., Klein, V., Valperga, R., Lamb, J. S. W., Webster, K., Quax, R., & Gavves, E. (2023) · arXiv
Topological and Geometric Data AnalysisNeural Networks and Applications
Cited by 2
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Memory Fabric for Conversational AI Agents: Enabling Shared and Persistent Memory Across Users
Tiwari, A., & Gupta, V. (2025) · TechRxiv
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 2
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2 OLMo 2 Furious
OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Analytical modeling of rlc protocol of lte using stochastic reward nets
Gupta, S., & Gupta, V. (2019) · International Journal of Communication Systems
Petri Nets in System ModelingAdvanced Wireless Network Optimization
Cited by 2
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Applying Polynomials for Developing Post Quantum Cryptography Algorithms to Secure Online Information - An Initial Hypothesis
Hasija, T., Ramkumar, K. R., Singh, B., Kaur, A., & Mittal, S. K. (2025) · Recent Advances in Computer Science and Communications
Cryptography and Data SecurityCryptography and Residue Arithmetic
Cited by 2
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Prediction-Powered Ranking of Large Language Models
Chatzi, I., Straitouri, E., Thejaswi, S., & Rodriguez, M. G. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 2
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