Cem Anil

Solving Quantitative Reasoning Problems with Language Models

Aitor Lewkowycz, Anders Andreassen, D. Dohan et al. · arXiv (Cornell University) · 2022 · 281 citations · Full text

Artificial Intelligence, Llm Fine-tuning, Engineering +18

Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

Jonathan Tremblay, Aayush Prakash, David Acuna et al. · 2018 · 93 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +18

Exploring Length Generalization in Large Language Models

Cem Anil, Yuhuai Wu, Anders Andreassen et al. · arXiv (Cornell University) · 2022 · 45 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +16

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks

Qiyang Li, Saminul Haque, Cem Anil et al. · arXiv (Cornell University) · 2019 · 33 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +13

Sorting out Lipschitz function approximation

Cem Anil, James Lucas, Roger Grosse · arXiv (Cornell University) · 2018 · 31 citations · Full text

Numerical Analysis, Artificial Intelligence, Engineering +17