Bahri, Yasaman

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Explaining Neural Scaling Laws

Bahri, Y., Dyer, E., Kaplan, J., Lee, J., & Sharma, U. (2021) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 182

Explaining neural scaling laws

Bahri, Y., Dyer, E., Kaplan, J., Lee, J., & Sharma, U. (2024) · Proceedings of the National Academy of Sciences

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 181

Infinite attention: NNGP and NTK for deep attention networks

Hron, J., Bahri, Y., Sohl-Dickstein, J., & Novak, R. (2020) · arXiv

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 40

Quantum many-body physics calculations with large language models

Pan, H., Mudur, N., Taranto, W., Tikhanovskaya, M., Venugopalan, S., Bahri, Y., Brenner, M. P., & Kim, E.-A. (2025) · Communications Physics

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 15