Most cited computer science papers
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Interoperability of Semantically-Enabled Web Services on the WoT: Challenges and Prospects
Bennara, M., Zimmermann, A., Lefrançois, M., & Messalti, N. (2020) · Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services
Semantic Web and OntologiesService-Oriented Architecture and Web Services
Cited by 3
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Episodic volunteering in open source communities
Barcomb, A. (2016) · Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering
Open Source Software InnovationsSoftware Engineering Techniques and Practices
Cited by 3
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Immersive Virtual Reality in Psychotherapeutic Interventions for Youth with Eating Disorders: A Pilot Study in a Rural Context
Sarrió-Colas, L., Reverté-Villarroya, S., Castellà-Culvi, A. B., Barberà-Roig, D., Gas-Prades, C., Coello-Segura, A., & Adell-Lleixà, M. (2025) · Applied Sciences
Virtual Reality Applications and ImpactsEating Disorders and Behaviors
Cited by 3
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Early science acceleration experiments with GPT-5
Bubeck, S., Coester, C., Eldan, R., Gowers, T., Lee, Y. T., Lupsasca, A., Sawhney, M., Scherrer, R., Sellke, M., Spears, B. K., et al. (2025) · arXiv
Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 3
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MovEcho: A Gesture-Sound Interface Allowing Blind Manipulations in a Driving Context
Bressolette, B., Denjean, S., Roussarie, V., Aramaki, M., Ystad, S., & Kronland-Martinet, R. (2021) · ACM Transactions on Applied Perception
Interactive and Immersive DisplaysHuman-Automation Interaction and Safety
Cited by 3
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LangChain & LangGraph in Production: Architectures for Multi-Agent LLM Systems
Pelluru, K. (2025) · Journal of Data and Digital Innovation
Artificial Intelligence ApplicationsNatural Language Processing Techniques
Cited by 3
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Kelle: Co-design KV Caching and eDRAM for Efficient LLM Serving in Edge Computing
Xia, T., & Zhang, S. Q. (2025) · Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture
Parallel Computing and Optimization TechniquesIoT and Edge/Fog Computing
Cited by 3
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Rigorously assessing natural language explanations of neurons
Huang, J., Geiger, A., D’Oosterlinck, K., Wu, Z., & Potts, C. (2023) · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 3
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Leveraging Large Language Models for Autonomous Threat Detection in IoT Networks
Zhang, J. (2024) · Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering
Network Security and Intrusion DetectionInternet of Things and AI
Cited by 3
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Crafting Large Language Models for Enhanced Interpretability
Sun, C.-E., Oikarinen, T., & Weng, T.-W. (2024) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 3
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We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
Spracklen, J., Wijewickrama, R., Sakib, A. H. M. N., Maiti, A., Viswanath, B., & Jadliwala, M. (2024) · arXiv
Software Engineering ResearchAdversarial Robustness in Machine Learning
Cited by 3
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Instruction-tuned Language Models are Better Knowledge Learners
Jiang, Z., Sun, Z., Shi, W., Rodriguez, P., Zhou, C., Neubig, G., Lin, X. V., Yih, W.-T., & Iyer, S. (2024) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 3
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THEaiTRE 1.0: Interactive generation of theatre play scripts
Rosa, R., Musil, T., Dušek, O., Jurko, D., Schmidtová, P., Mareček, D., Bojar, O., Kocmi, T., Hrbek, D., Košťák, D., et al. (2021) · arXiv
Artificial Intelligence in GamesTopic Modeling
Cited by 3
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What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
Yang, C., Shi, Y., Ma, Q., Liu, M. X., Kästner, C., & Wu, T. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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Designing automated audit mechanisms to evaluate compliance of generative AI platforms with federal authorship and ownership disclosure requirements.
Omogiate, P. M. (2023) · International Journal of Science and Research Archive
Law, AI, and Intellectual PropertyEthics and Social Impacts of AI
Cited by 3
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Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Shum, K., Diao, S., & Zhang, T. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
- Verified · note
Cradle: Empowering Foundation Agents Towards General Computer Control
Tan, W., Zhang, W., Xu, X., Xia, H., Ding, Z., Li, B., Zhou, B., Yue, J., Jiang, J., Li, Y., et al. (2024) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 3
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MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data
Muheki, D., Vercruysse, B., Chandrasekar, K. K. T., Verbruggen, C., Birkholz, J. M., Hufkens, K., Verbeeck, H., Boeckx, P., Lampe, S., Hawkins, E., et al. (2026) · Geoscientific Model Development
Handwritten Text Recognition TechniquesDigital Humanities and Scholarship
Cited by 3
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UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
Tang, H., Xie, C., Wang, H., Bao, X., Weng, T., Li, P., Zheng, Y., & Wang, L. (2025) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 3
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Empowering low-resource languages: TraSe architecture for enhanced retrieval-augmented generation in Bangla
Ipa, A. S., Rony, M. A. T., & Islam, M. S. (2025) · Proceedings of the 1st Workshop on Language Models for Underserved Communities (LM4UC 2025)
Topic ModelingInformation Retrieval and Search Behavior
Cited by 3
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Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities
Krishna, A., Galinkin, E., Derczynski, L., & Martin, J. (2025) · arXiv
Software Engineering ResearchAdversarial Robustness in Machine Learning
Cited by 3
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Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Pan, Z., Luo, H., Li, M., & Liu, H. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 3
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Teaching Small Language Models Reasoning through Counterfactual Distillation
Feng, T., Li, Y., Chenglin, L., Chen, H., Yu, F., & Zhang, Y. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 3
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Using detector likelihood for benchmarking quantum error correction
Hesner, I., Hetényi, B., & Wootton, J. R. (2025) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 3
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