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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

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)

How do Language Models Bind Entities in Context?

Feng, J., & Steinhardt, J. (2023) · arXiv

The Interpretation of Quantum Mechanics: Many Worlds or Many Words?

Tegmark, M. (1998) · Fortschritte der Physik

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

Convergent and divergent validity of the Beck Anxiety Inventory for patients with panic disorder and agoraphobia

de Beurs, E., Wilson, K. A., Chambless, D. L., Goldstein, A. J., & Feske, U. (1997) · Depression and Anxiety

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

Foundation Models and Fair Use

Henderson, P., Li, X., Jurafsky, D., Hashimoto, T., Lemley, M. A., & Liang, P. (2023) · arXiv

Advanced Data Processing of THz-Time Domain Spectroscopy Data with Sinusoidally Moving Delay Lines

Vogel, T., & Saraceno, C. J. (2024) · arXiv

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

Loss of one but not twomdm2 null alleles alters the tumour spectrum inp53 null mice

McDonnell, T. J., Montes de Oca Luna, R., Cho, S., Amelse, L. L., Chavez-Reyes, A., & Lozano, G. (1999) · The Journal of Pathology

Uncovering the Sociodemographic Fabric of Reddit

Cinus, F., Monti, C., Bajardi, P., & Morales, G. D. F. (2025) · arXiv

The effects of surface chemistry and adsorbed proteins on monocyte/macrophage adhesion to chemically modified polystyrene surfaces

Shen, M., & Horbett, T. A. (2001) · Journal of Biomedical Materials Research

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation

Schmalstieg, F., Honerkamp, D., Welschehold, T., & Valada, A. (2023) · arXiv

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

Phang, J., Févry, T., & Bowman, S. R. (2018) · arXiv

Hydrologic evolution of drainage basins disturbed by surface mining, central Pennsylvania

RITTER, J. B., & GARDNER, T. W. (1993) · Geological Society of America Bulletin

Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey

Nentidis, A., Akasiadis, C., Charalambidis, A., & Artikis, A. (2025) · arXiv

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

Training Needs of Direct Support Staff

Test, D. W., Flowers, C., Hewitt, A., Solow, J., & Taylor, S. J. (2004) · Mental Retardation

Werner states from diagrams

Lyons, D. W., Mullican, C., Rilatt, A., & Putnam, J. D. (2023) · arXiv

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Wen, Y., Tran, D., & Ba, J. (2020) · arXiv

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

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