Cem Anil

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Language Modelling

Reasoning Problems

Real Image Data

Top Venues

Publications

Johannes Treutlein, Dami Choi, Jan Betley, Cem Anil, Samuel Marks, Roger Baker Grosse, Owain Evans
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. CoRR (2024)
Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR (2024)
Roger B. Grosse, Juhan Bae, Cem Anil, Nelson Elhage, Alex Tamkin, Amirhossein Tajdini, Benoit Steiner, Dustin Li, Esin Durmus, Ethan Perez, Evan Hubinger, Kamile Lukosiute, Karina Nguyen, Nicholas Joseph, Sam McCandlish, Jared Kaplan, Samuel R. Bowman
Studying Large Language Model Generalization with Influence Functions. CoRR (2023)
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay V. Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
Exploring Length Generalization in Large Language Models. NeurIPS (2022)
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay V. Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra
Solving Quantitative Reasoning Problems with Language Models. NeurIPS (2022)
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay V. Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra
Solving Quantitative Reasoning Problems with Language Models. CoRR (2022)
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR (2022)
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS (2022)
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay V. Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
Exploring Length Generalization in Large Language Models. CoRR (2022)
Cem Anil, Xuchan Bao
Learning to Elect. NeurIPS (2021)
Cem Anil, Xuchan Bao
Learning to Elect. CoRR (2021)
Cem Anil, Guodong Zhang, Yuhuai Wu, Roger B. Grosse
Learning to Give Checkable Answers with Prover-Verifier Games. CoRR (2021)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS (2019)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR (2019)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. ICLR (Poster) (2019)
Cem Anil, James Lucas, Roger B. Grosse
Sorting Out Lipschitz Function Approximation. ICML (2019)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. CoRR (2018)
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops (2018)
Cem Anil, James Lucas, Roger B. Grosse
Sorting out Lipschitz function approximation. CoRR (2018)
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR (2018)