Most cited computer science papers
- Verified
Continual Learning via Sparse Memory Finetuning
Lin, J., Zettlemoyer, L., Ghosh, G., Yih, W.-T., Markosyan, A., Berges, V.-P., & Oğuz, B. (2025) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 33
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LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Lian, L., Li, B., Yala, A., & Darrell, T. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 33
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The Classification of Reversible Bit Operations
Aaronson, S., Grier, D., & Schaeffer, L. (2015) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum-Dot Cellular Automata
Cited by 33
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Critique Me: Exploring How Creators Publicly Request Feedback in an Online Critique Community
Cheng, R., Zeng, Z., Liu, M., & Dow, S. (2020) · Proceedings of the ACM on Human-Computer Interaction
Expert finding and Q&A systemsInnovative Human-Technology Interaction
Cited by 33
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A TinyML Model for Gesture-Based Air Handwriting Arabic Numbers Recognition
Lamaakal, I., Makkaoui, K. E., Ouahbi, I., & Maleh, Y. (2024) · Procedia Computer Science
Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems
Cited by 33
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Improving Local Identifiability in Probabilistic Box Embeddings
Dasgupta, S. S., Boratko, M., Zhang, D., Vilnis, L., Li, X. L., & McCallum, A. (2020) · arXiv
Bayesian Modeling and Causal InferenceMachine Learning and Data Classification
Cited by 33
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”Clay to Play With”: Generative AI Tools in UX and Industrial Design Practice
Uusitalo, S., Salovaara, A., Jokela, T., & Salmimaa, M. (2024) · Designing Interactive Systems Conference
Digital Media and Visual ArtInnovative Human-Technology Interaction
Cited by 33
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Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling
Abdulnabi, A. H., Shuai, B., Zuo, Z., Chau, L.-P., & Wang, G. (2018) · IEEE Transactions on Multimedia
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 33
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AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
Murali, V., Maddila, C., Ahmad, I., Bolin, M., Cheng, D., Ghorbani, N., Fernandez, R., Nagappan, N., & Rigby, P. C. (2023) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 33
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Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance
Wakunuma, K., & Eke, D. (2024) · Philosophies
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 33
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Jutge.org: Characteristics and Experiences
Petit, J., Roura, S., Carmona, J., Cortadella, J., Duch, J., Gimenez, O., Mani, A., Mas, J., Rodriguez-Carbonell, E., Rubio, E., et al. (2018) · IEEE Transactions on Learning Technologies
Teaching and Learning ProgrammingOnline Learning and Analytics
Cited by 33
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What Language Model to Train if You Have One Million GPU Hours?
Le Scao, T., Wang, T., Hesslow, D., Bekman, S., Bari, M. S., Biderman, S., Elsahar, H., Muennighoff, N., Phang, J., Press, O., et al. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022
Topic ModelingNatural Language Processing Techniques
Cited by 33
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SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
Zhao, B., Srikanth, D., Wu, Y., & Jiang, Z. (2026) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 33
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TurtleTalk: An Educational Programming Game for Children with Voice User Interface
Jung, H., Kim, H. J., So, S., Kim, J., & Oh, C. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Teaching and Learning ProgrammingEducational Robotics and Engineering
Cited by 33
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When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images
Kellenberger, B., Marcos, D., & Tuia, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 33
- Verified · note
Into the LAION’s Den: Investigating Hate in Multimodal Datasets
Birhane, A., Prabhu, V., Han, S., Boddeti, V., & Luccioni, S. (2023) · Advances in Neural Information Processing Systems 36
Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts
Cited by 33
- Verified · note
Lip Sync Matters: A Novel Multimodal Forgery Detector
Shahzad, S. A., Hashmi, A., Khan, S., Peng, Y.-T., Tsao, Y., & Wang, H.-M. (2022) · 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 33
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BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs
Jeon, Y., Park, B., Kwon, S. J., Kim, B., Yun, J., & Lee, D. (2020) · arXiv
Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques
Cited by 33
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An IoT-Applicable Access Control Model Under Double-Layer Blockchain
Li, Z., Hao, J., Liu, J., Wang, H., & Xian, M. (2021) · IEEE Transactions on Circuits and Systems II: Express Briefs
Blockchain Technology Applications and SecurityAccess Control and Trust
Cited by 33
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BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation
Pan, C., He, Y., Peng, J., Zhang, Q., Sui, W., & Zhang, Z. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 33
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Congestion-aware edge caching for adaptive video streaming in Information-Centric Networks
Yu, Y.-T., Bronzino, F., Fan, R., Westphal, C., & Gerla, M. (2015) · 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)
Caching and Content DeliveryNetwork Traffic and Congestion Control
Cited by 33
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LoRA Learns Less and Forgets Less
Biderman, D., Portes, J., Ortiz, J. J. G., Paul, M., Greengard, P., Jennings, C., King, D., Havens, S., Chiley, V., Frankle, J., et al. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 33
- Verified
Large Language Models Pass the Turing Test
Jones, C. R., & Bergen, B. K. (2025) · arXiv
Speech and dialogue systemsNatural Language Processing Techniques
Cited by 33
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CoopEdge+: Enabling Decentralized, Secure and Cooperative Multi-Access Edge Computing Based on Blockchain
Yuan, L., He, Q., Tan, S., Li, B., Yu, J., Chen, F., & Yang, Y. (2023) · IEEE Transactions on Parallel and Distributed Systems
IoT and Edge/Fog ComputingBlockchain Technology Applications and Security
Cited by 33
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