Besiroglu, Tamay

Compute Trends Across Three Eras of Machine Learning

Sevilla, J., Heim, L., Ho, A., Besiroglu, T., Hobbhahn, M., & Villalobos, P. (2022) · 2022 International Joint Conference on Neural Networks (IJCNN)

Parallel Computing and Optimization TechniquesArtificial Intelligence Applications

Cited by 363

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 306

Will we run out of data? Limits of LLM scaling based on human-generated data

Villalobos, P., Ho, A., Sevilla, J., Besiroglu, T., Heim, L., & Hobbhahn, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 80

The rising costs of training frontier AI models

Cottier, B., Rahman, R., Fattorini, L., Maslej, N., Besiroglu, T., & Owen, D. (2024) · arXiv

Artificial Intelligence ApplicationsCloud Computing and Resource Management

Cited by 27

Algorithmic progress in language models

Ho, A., Besiroglu, T., Erdil, E., Owen, D., Rahman, R., Guo, Z. C., Atkinson, D., Thompson, N., & Sevilla, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16

Algorithmic progress in computer vision

Erdil, E., & Besiroglu, T. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 7

Chinchilla Scaling: A replication attempt

Besiroglu, T., Erdil, E., Barnett, M., & You, J. (2024) · arXiv

Parallel Computing and Optimization TechniquesMachine Learning and Data Classification

Cited by 1