Most cited computer science papers
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EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation
Cao, L., Chen, Q., & Guo, Y. (2026) · arXiv
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
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Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models
Casademunt, A. B., Mira, R., Drobyshev, N., Vougioukas, K., Petridis, S., & Pantic, M. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisHuman Motion and Animation
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Making the Telemetry Pipeline Measurable: An Edge IoT Testbed and Dataset for End-to-End Latency, Provenance, and Energy-Aware Benchmarking
Gkoulis, D. (2026) · arXiv
IoT and Edge/Fog ComputingEnergy Efficient Wireless Sensor Networks
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PWM: Policy learning with multi-task world models
Georgiev, I., Giridhar, V., Hansen, N., & Garg, A. (2024) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
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Democratizing Data Analysis: Can Generative AI Tools Enable Non-STEM Students to Complete Complex Coding Tasks with Minimal Training?
Mamirov, A., Park, L., & Palmer, D. (2025)
Teaching and Learning ProgrammingComputational and Text Analysis Methods
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WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
Yeo, W., Kim, K., Yoon, J., & Hwang, S. J. (2025) · arXiv
Multimodal Machine Learning ApplicationsVideo Analysis and Summarization
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Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
Li, Z., Li, Z., Shi, Y., Wang, R., Yang, J., Liu, Z., Wu, X., Li, A., Huang, C., Shang, E., et al. (2026) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence Applications
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An Empirical Evaluation of AI-Assisted Code Generation on Developer Productivity and Code Quality: A Case Study of .NET Applications
Tariq, M., Hassan, A., & Yazdani, M. F. (2026) · SSRN
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 0
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Demo Application for the AutoGOAL Framework
Estevez-Velarde, S., Piad-Morffis, A., Gutiérrez, Y., Montoyo, A., Muñoz-Guillena, R., & Almeida Cruz, Y. (2020) · Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
Natural Language Processing TechniquesSpeech and dialogue systems
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Fun-ASR Technical Report
An, K., Chen, Y., Chen, Z., Deng, C., Du, Z., Gao, C., Gao, Z., Gong, B., Li, X., Li, Y., et al. (2025) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 0
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Gargoyle: A rigging study
Davalath, M., & Polson, B. (2010) · ACM SIGGRAPH 2010 Dailies
Digital Media and Visual ArtHuman Motion and Animation
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AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
Yang, Q., Xu, J., Liu, W., Chu, Y., Jiang, Z., Zhou, X., Leng, Y., Lv, Y., Zhao, Z., Zhou, C., et al. (2024) · arXiv
Speech Recognition and SynthesisMultimodal Machine Learning Applications
Cited by 0
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DeltaML-Bench: Evaluating Machine Learning Agents on Real-World Research Repositories
Moukpe, J., Aryal, P., & Kenney, M. (2026) · arXiv
Software Engineering ResearchArtificial Intelligence Applications
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From Word to World: Can Large Language Models be Implicit Text-based World Models?
Li, Y., Wang, H., Qiu, J., Yin, Z., Zhang, D., Qian, C., Li, Z., Ma, X., Chen, G., & Ji, H. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
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When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents
Torres, G., Shrestha, S., & Misra, S. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
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RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
Bian, H., Yao, Z., Hu, S., Xu, Z., Zhang, S., Guo, Y., Yang, Z., Han, X., Wang, H., & Chen, R. (2026) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
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Seeing Is Believing, Experiencing Is Deciding: How Augmented Reality Attributes Drive Confidence in Choice and Willingness to Pay
Javeed, S., Rasool, G., & Pathania, A. (2026) · International Journal of Consumer Studies
Augmented Reality ApplicationsConsumer Retail Behavior Studies
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MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
Wang, J., Tian, C., Chen, K., Liu, Z., Mao, J., Zhao, W. X., Zhang, Z., & Zhou, J. (2026) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
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Classic Communication Theories in the Digital Realm: A Literature Review
Tasente, T. (2026) · Mediaciones Sociales
Media and Digital CommunicationSocial Media and Politics
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PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
Jiang, B., Yuan, Y., Shen, M., Hao, Z., Xu, Z., Chen, Z., Liu, Z., Vijjini, A. R., He, J., Yu, H., et al. (2025) · arXiv
Speech and dialogue systemsRecommender Systems and Techniques
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SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent
Cao, S., Li, D., Zhao, F., Yuan, S., Hegde, S. R., Chen, C., Ruan, C., Griggs, T., Liu, S., Tang, E., et al. (2025) · arXiv
Software Engineering ResearchReinforcement Learning in Robotics
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Beyond Liability: Decentralized Forensics for Autonomous Vehicle Events via a Redactable Blockchain Approach
Guo, H., Li, W., Meese, C., Wang, Y., & Nejad, M. (2025) · IEEE Transactions on Network and Service Management
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
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Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Zheng, K., Wang, Y., Ma, Q., Chen, H., Zhang, J., Balaji, Y., Chen, J., Liu, M.-Y., Zhu, J., & Zhang, Q. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 0
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Model Aplikasi Gym Member dengan Pendekatan Agile Scrum
Julpandi, J., & Asriningtias, Y. (2024) · Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Mobile and Web ApplicationsSoftware Engineering Techniques and Practices
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