Most cited papers
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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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Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
Registries, T. F. O. B. P. F. S., :, Monteil, A., Gonzalez-Beltran, A., Ioannidis, A., Allen, A., Lee, A., Bandrowski, A., Wilson, B. E., Mecum, B., et al. (2020) · arXiv
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Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning
Chen, S., Liu, J., Wu, J., Guo, Y., Wang, T., Li, Q., Qian, S., Co, P., Chen, H., Cao, J., et al. (2026) · arXiv
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Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines
Vogel, T., & Saraceno, C. J. (2024) · arXiv
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Where Do I 'Add the Egg'?: Exploring Agency and Ownership in AI Creative Co-Writing Systems
Carrera, D., Thomas-Mitchell, J., & Wigdor, D. (2025) · arXiv
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Uncovering the Sociodemographic Fabric of Reddit
Cinus, F., Monti, C., Bajardi, P., & Morales, G. D. F. (2025) · arXiv
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Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Schmalstieg, F., Honerkamp, D., Welschehold, T., & Valada, A. (2023) · arXiv
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Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Phang, J., Févry, T., & Bowman, S. R. (2018) · arXiv
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Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey
Nentidis, A., Akasiadis, C., Charalambidis, A., & Artikis, A. (2025) · arXiv
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RSI-Anything: Unlocking Recursive Self-Improvement with World Models
Cui, T., Zeng, P., Xu, W., Xiao, H., Xue, S., Gao, Q., Ouyang, W., Heng, P. A., Yin, Z., Wu, Y., et al. (2026) · arXiv
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Werner states from diagrams
Lyons, D. W., Mullican, C., Rilatt, A., & Putnam, J. D. (2023) · arXiv
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PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
Huang, W., Chao, Y.-W., Mousavian, A., Liu, M.-Y., Fox, D., Mo, K., & Fei-Fei, L. (2026) · arXiv
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OPT: Open Pre-trained Transformer Language Models
Zhang, S., Roller, S., Goyal, N., Artetxe, M., Chen, M., Chen, S., Dewan, C., Diab, M., Li, X., Lin, X. V., et al. (2022) · arXiv
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Large Language Models for Software Engineering: A Reproducibility Crisis
Siddiq, M. L., Islam-Gomes, A., Sekerak, N., & Santos, J. C. S. (2025) · arXiv
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Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
Yang, S., Zheng, X., Zhang, X., Xu, J., Li, J., Xie, D., Long, W., & Ngai, E. C. H. (2025) · arXiv
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MSR Mining Challenge: The SmartSHARK Repository Mining Data
Trautsch, A., Trautsch, F., & Herbold, S. (2021) · arXiv
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Software Architecture in Practice: Challenges and Opportunities
Wan, Z., Zhang, Y., Xia, X., Jiang, Y., & Lo, D. (2023) · arXiv
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Police Body Cameras in Large Police Departments
Ariel, B. (2016) · Northwestern University School of Law
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Pleistocene and Holocene Flora of New England as a Framework for Interpreting Aspects of Plant Rarity
Miller, N. G. (1989) · New England Botanical Club [etc.]
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Weyl and Dirac Semimetals in Three Dimensional Solids
Armitage, N. P., Mele, E. J., & Vishwanath, A. (2017) · arXiv
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Low Impact Artificial Intelligences
Armstrong, S., & Levinstein, B. (2017) · arXiv
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