Anil, Cem

10 publications

NeurIPS 2024 Connecting the Dots: LLMs Can Infer and Verbalize Latent Structure from Disparate Training Data Johannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil, Roger Grosse, Owain Evans
NeurIPS 2024 Many-Shot Jailbreaking Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Fracesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan J Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanhan, Karina Nguyen, Tomasz Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger Baker Grosse, David Duvenaud
NeurIPS 2022 Exploring Length Generalization in Large Language Models Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
NeurIPS 2022 Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B Grosse
NeurIPS 2022 Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra
NeurIPS 2021 Learning to Elect Cem Anil, Xuchan Bao
NeurIPS 2019 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B Grosse, Joern-Henrik Jacobsen
ICML 2019 Sorting Out Lipschitz Function Approximation Cem Anil, James Lucas, Roger Grosse
ICLR 2019 TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
CVPRW 2018 Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield