Most cited papers
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Automatic tagging using deep convolutional neural networks
Choi, K., Fazekas, G., & Sandler, M. (2016) · arXiv
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Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking
Cohen, S., Bitton, R., & Nassi, B. (2024) · arXiv
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Handwritten Text Recognition Error Rate Reduction in Historical Documents using Naive Transcribers
Christlein, V., Nicolaou, A., Schlauwitz, T., Späth, S., & Maier, A. (2018) · Gesellschaft für Informatik e.V.
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Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants
Vidoni, M., & Ferreyra, N. E. D. (2022) · arXiv
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Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments
Zheng, T., Deng, W., & Hu, J. (2017) · arXiv
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Social Status and Anti-Immigrant Attitudes in Europe: An Examination from the Perspective of Social Dominance Theory
Küpper, B., Wolf, C., & Zick, A. (2010) · International Journal of Conflict and Violence (IJCV)
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CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
Huang, K.-H., Prabhakar, A., Dhawan, S., Mao, Y., Wang, H., Savarese, S., Xiong, C., Laban, P., & Wu, C.-S. (2024) · arXiv
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Redefining accountability: navigating legal challenges of participant liability in decentralized autonomous organizations
Napieralska, A., & Kępczyński, P. (2024) · arXiv
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Information Seeking for Robust Decision Making under Partial Observability
Fang, D. C.-J., & Ke, T.-W. (2025) · arXiv
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The SmartSHARK Ecosystem for Software Repository Mining
Trautsch, A., Trautsch, F., Herbold, S., Ledel, B., & Grabowski, J. (2020) · arXiv
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Are we measuring trust correctly in explainability, interpretability, and transparency research?
Miller, T. (2022) · arXiv
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MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition
Zhang, H., Zhuang, Z., Wang, X., Yang, X., & Zhang, Y. (2025) · arXiv
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Ultra-Sparse Memory Network
Huang, Z., Min, Q., Huang, H., Zhu, D., Zeng, Y., Guo, R., & Zhou, X. (2024) · arXiv
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HCI Guidelines for Gender Equity and Inclusivity
Scheuerman, M. K., Spiel, K., Haimson, O. L., Hamidi, F., & Branham, S. M. (2020) · Maryland Shared Open Access Repository
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Deep ViT Features as Dense Visual Descriptors
Amir, S., Gandelsman, Y., Bagon, S., & Dekel, T. (2021) · arXiv
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When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Epstein, Z., Schroeder, H., & Newman, D. (2022) · arXiv
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Decision Transformer: Reinforcement Learning via Sequence Modeling
Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., & Mordatch, I. (2021) · arXiv
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Quark and Gluon Contents of a Lepton at High Energies
Han, T., Ma, Y., & Xie, K. (2021) · arXiv
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MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models
Yang, T., Shen, Z., Mi, Z., Zhang, Z., Zhou, J., Ji, J., Dai, J., Chen, J., Chen, B., & Yang, Y. (2026) · arXiv
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An active inference ontology for decentralized science: from situated sensemaking to the epistemic commons
Friedman, D., Applegate-Swanson, S., Balbuena, J. A., Choudhury, A., Cordes, R., El Damaty, S., Guénin—Carlut, A., Knight, V. B., Metelkin, I., Shrivastava, S., et al. (2022) · Zenodo
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Multilingual E5 Text Embeddings: A Technical Report
Wang, L., Yang, N., Huang, X., Yang, L., Majumder, R., & Wei, F. (2024) · arXiv
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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
You, Y., Li, J., Reddi, S., Hseu, J., Kumar, S., Bhojanapalli, S., Song, X., Demmel, J., Keutzer, K., & Hsieh, C.-J. (2019) · arXiv
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Acetylation-mediated phase control of the nucleolus regulates cellular acetyl-CoA responses
Houston, R., Sekine, S., Calderon, M. J., Seifuddin, F., Wang, G., Kawagishi, H., Malide, D. A., Li, Y., Gucek, M., Pirooznia, M., et al. (2020)
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How do Language Models Bind Entities in Context?
Feng, J., & Steinhardt, J. (2023) · arXiv
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