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Improving robustness against common corruptions by covariate shift adaptation

Schneider, S., Rusak, E., Eck, L., Bringmann, O., Brendel, W., & Bethge, M. (2020) · arXiv

A Systematic Literature Review on the NIS2 Directive

Ruohonen, J. (2024) · arXiv

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

Chen, X., Li, S., Li, H., Jiang, S., Qi, Y., & Song, L. (2018) · arXiv

AutoPrompt: eliciting knowledge from language models with automatically generated prompts

Shin, T., Razeghi, Y., Logan, R. L., Wallace, E., & Singh, S. (2020) · arXiv

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

Liu, Y., Luo, Y., Zhong, Y., Chen, X., Liu, Q., & Peng, J. (2019) · arXiv

What shapes feature representations? Exploring datasets, architectures, and training

Hermann, K. L., & Lampinen, A. K. (2020) · arXiv

ASReview Dory - New and exciting models for ASReview

van der Kuil, T., Teijema, J. J., de Bruin, J., & van de Schoot, R. (2026) · Zenodo

Incorporating Spatial Awareness in Data-Driven Gesture Generation for Virtual Agents

Deichler, A., Alexanderson, S., & Beskow, J. (2024) · arXiv

Investigating Morphosyntactic Variation in African American English on Twitter

Masis, T., Eggleston, C., Green, L. J., Jones, T., Armstrong, M., & O'Connor, B. (2023) · University of Massachusetts Amherst

CoreKB Trust Network

Menotti, L., MARCHESIN, S., Giachelle, F., & Silvello, G. (2025) · Zenodo

Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Hoffer, E., Hubara, I., & Soudry, D. (2017) · arXiv

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Workshop, B., :, Scao, T. L., Fan, A., Akiki, C., Pavlick, E., Ilić, S., Hesslow, D., Castagné, R., Luccioni, A. S., et al. (2022) · arXiv

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Lehman, E., Jain, S., Pichotta, K., Goldberg, Y., & Wallace, B. C. (2021) · arXiv

End-to-end learning for music audio tagging at scale

Pons, J., Nieto, O., Prockup, M., Schmidt, E., Ehmann, A., & Serra, X. (2017) · arXiv

Null geodesic defocusing in dynamical black-hole-to-white-hole transitions

Borissova, J., Liberati, S., & Visser, M. (2026) · arXiv

GPT-4 Technical Report

OpenAI, Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., et al. (2023) · arXiv

How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence

Zaphir, L., Lodge, J. M., Lisec, J., McGrath, D., & Khosravi, H. (2024) · arXiv

MACROECONOMIC VARIABLES AND FOOD PRICE INFLATION IN NIGERIA (1980-2018)

Akinbode, S. O., Olabisi, J., Adekunle, C. P., Jimoh, O. M., Akinbode, S. O., Olabisi, J., Adekunle, C. P., & Jimoh, O. M. (2021) · Unknown

Assigning AI: Seven Approaches for Students, with Prompts

Mollick, E., & Mollick, L. (2023) · arXiv

Mature oligodendrocyte apoptosis precedes IGF-1 production and oligodendrocyte progenitor accumulation and differentiation during demyelination/remyelination

Mason, J. L., Jones, J. J., Taniike, M., Morell, P., Suzuki, K., & Matsushima, G. K. (2000) · Journal of Neuroscience Research

Los manteños de Bola de Oro y su resiliencia al cambio climático: reconstrucción cronológica de modificaciones agrícolas a través de modelado de edad-profundidad y análisis de abundancia de carbón

Garzón-Oechsle, A. E., Johanson, E., & Martínez, V. (2023) · Instituto Nacional de Patrimonio Cultural - Ecuador

EarthNets: Empowering AI in Earth Observation

Xiong, Z., Zhang, F., Wang, Y., Shi, Y., & Zhu, X. X. (2022) · arXiv

An economic solution to copyright challenges of generative AI

Wang, J. T., Deng, Z., Chiba-Okabe, H., Barak, B., & Su, W. J. (2024) · arXiv