Most cited computer science papers
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PREPING: Zero-Task Agent Memory Construction via Self-Practice
Choi, Y., Park, S., Kang, M., Baek, J., & Hwang, S. J. (2026) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 0
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Building an analogue simulator of a photonic quantum computer with transparent tape, maple syrup, and cat lasers, and implementing first quantum algorithms in the classroom
Lefebvre, G. (2026) · Physics Education
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 0
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Indie at Scale: How Large Language Models Make Community-Centered Game Development Economically Viable
Qarkaxhija, J. (2026) · International Journal of Advanced Computer Science and Applications
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 0
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AI-Assisted Instruction: Teachers’ Practices and Parents’ Perspectives
H. Bowle, M., & Gaza, J. S. (2025) · International Journal of Innovative Science and Research Technology
Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education
Cited by 0
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Verifiable Unlearning on Edge
Maheri, M. M., Davidson, A., & Haddadi, H. (2025) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 0
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Generative-AI-based game asset creation: developing a system for supporting game production brainstorming
Cavalcanti, L. P. S. B., Bezerra, P. T. L., & Barros, G. A. B. (2025) · Anais Estendidos do XXIV Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames 2025)
Artificial Intelligence in GamesGenerative Adversarial Networks and Image Synthesis
Cited by 0
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MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
He, Z., Wang, Y., Zhi, C., Hu, Y., Chen, T.-P., Yin, L., Chen, Z., Wu, T. A., Ouyang, S., Wang, Z., et al. (2026) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
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RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
Pan, T., Lin, X., Yang, W., He, Q., Chen, S., Qi, L., Xu, W., Feng, H., Xu, B., & Xiao, Y. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
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RWKV-7 "Goose" with Expressive Dynamic State Evolution
Peng, B., Zhang, R., Goldstein, D., Alcaide, E., Du, X., Hou, H., Lin, J., Liu, J., Lu, J., Merrill, W., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
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Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low‐Income Populations Within United States Health Systems: A Scoping Review
Razzano, A. V. (2026) · Health Science Reports
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 0
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SelfSearch: Reward-Free Search for Self-Improving Agents
Yang, J., Kong, I., & Jo, Y. (2026) · arXiv
Evolutionary Algorithms and ApplicationsSoftware Engineering Research
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Unified AI Gateway: A Framework for Joint Model Routing and KV Cache Management
Lu, J., Zhang, X., & Shao, Y. (2026) · arXiv
IoT and Edge/Fog ComputingCloud Computing and Resource Management
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From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems
Rahman, A. M. M., Ye, J., Yao, W., Liu, S. S., Yu, J., Yu, J., Yin, W., & Wang, G. (2024) · arXiv
Topic ModelingMathematics Education and Pedagogy
Cited by 0
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Beyond Similarity: Trustworthy Memory Search for Personal AI Agents
Zhang, J., Chen, K., Ma, J., Hu, Y., He, L., Zhang, Y., Liu, J., Yang, X., Zhang, T., & Jia, R. (2026) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 0
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Integrating Answer Set Programming and Large Language Models for Reliable Structured Knowledge Extraction
Alviano, M., Capalbo, M., Gottlob, G., Grillo, L., Kareem, I., Lo Scudo, F., Piccolo, S. A., & Rodriguez Reiners, L. A. (2026) · Journal of Artificial Intelligence Research
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 0
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Improved form navigation on mobile devices
El Batran, K., & Dunlop, M. (2014) · 2014 6th International Conference on Computer Science and Information Technology (CSIT)
Usability and User Interface DesignInteractive and Immersive Displays
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Policy Silence as Governance: AI Decision-Making, Responsibility, and Risk in K–12 Education
Miles, A. J., & Arar, K. (2026) · Improving Schools
Artificial Intelligence in EducationGlobal Educational Policies and Reforms
Cited by 0
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The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
Lindenbauer, T., Slinko, I., Felder, L., Bogomolov, E., & Zharov, Y. (2025) · arXiv
Software Engineering ResearchAI-based Problem Solving and Planning
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Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
Ma, Q., Tang, Z., Cui, H., Yao, Z., & Jia, W. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
Su, Z., Xia, P., Guo, H., Liu, Z., Ma, Y., Qu, X., Liu, J., Li, Y., Zeng, K., Yang, Z., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge
Cited by 0
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Automated Discovery Has No Universally Superior Harness
Gupta, A., Lei, J., Lu, A., Anumanchipalli, G., & Choshen, L. (2026) · arXiv
Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning
Cited by 0
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LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems
Xu, N., & Ma, X. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents
Liu, A., & Borisyuk, A. (2024) · arXiv
Reinforcement Learning in RoboticsSpatial Cognition and Navigation
Cited by 0
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Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents
Shen, Y., Li, K., Zhou, W., & Hu, S. (2026) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 0
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