Cem Anil

26 papers A* 8Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs.
CoRR
Igor Shilov, Alex Cloud, Aryo Pradipta Gema, Jacob Goldman-Wetzler, Nina Panickssery, Henry Sleight, Erik Jones, Cem Anil
2025 J jnl
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming.
CoRR
Mrinank Sharma, Meg Tong, Jesse Mu, Jerry Wei, Jorrit Kruthoff, Scott Goodfriend, Euan Ong, Alwin Peng, Raj Agarwal, Cem Anil, Amanda Askell, Nathan Bailey, Joe Benton, Emma Bluemke, Samuel R. Bowman, Eric Christiansen, Hoagy Cunningham, Andy Dau, Anjali Gopal, Rob Gilson, Logan Graham, Logan Howard, Nimit Kalra, Taesung Lee, Kevin Lin, Peter Lofgren, Francesco Mosconi, Clare O'Hara, Catherine Olsson, Linda Petrini, Samir Rajani, Nikhil Saxena, Alex Silverstein, Tanya Singh, Theodore R. Sumers, Leonard Tang, Kevin K. Troy, Constantin Weisser, Ruiqi Zhong, Giulio Zhou, Jan Leike, Jared Kaplan, Ethan Perez
2024 A* conf
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data.
NeurIPS
Johannes Treutlein, Dami Choi, Jan Betley, Samuel Marks, Cem Anil, Roger B. Grosse, Owain Evans
2024 J jnl
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data.
CoRR
Johannes Treutlein, Dami Choi, Jan Betley, Cem Anil, Samuel Marks, Roger Baker Grosse, Owain Evans
2024 A* conf
Many-shot Jailbreaking.
NeurIPS
Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Francesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanham, Karina Nguyen, Tomek Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger B. Grosse, David Kristjanson Duvenaud
2024 J jnl
Sabotage Evaluations for Frontier Models.
CoRR
Joe Benton, Misha Wagner, Eric Christiansen, Cem Anil, Ethan Perez, Jai Srivastav, Esin Durmus, Deep Ganguli, Shauna Kravec, Buck Shlegeris, Jared Kaplan, Holden Karnofsky, Evan Hubinger, Roger B. Grosse, Samuel R. Bowman, David Duvenaud
2024 J jnl
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.
CoRR
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 B. 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
2023 J jnl
Studying Large Language Model Generalization with Influence Functions.
CoRR
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
2022 A* conf
Exploring Length Generalization in Large Language Models.
NeurIPS
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay V. Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
2022 J jnl
Exploring Length Generalization in Large Language Models.
CoRR
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay V. Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, Behnam Neyshabur
2022 A* conf
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.
NeurIPS
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse
2022 J jnl
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.
CoRR
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse
2022 A* conf
Solving Quantitative Reasoning Problems with Language Models.
NeurIPS
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
2022 J jnl
Solving Quantitative Reasoning Problems with Language Models.
CoRR
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
2022 — conf
Sparse capsule networks for informative representation learning in digital pathology.
Digital and Computational Pathology
Matthew McNeil, Cem Anil, Anne L. Martel
2021 A* conf
Learning to Elect.
NeurIPS
Cem Anil, Xuchan Bao
2021 J jnl
Learning to Elect.
CoRR
Cem Anil, Xuchan Bao
2021 J jnl
Learning to Give Checkable Answers with Prover-Verifier Games.
CoRR
Cem Anil, Guodong Zhang, Yuhuai Wu, Roger B. Grosse
2019 A* conf
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.
NeurIPS
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019 J jnl
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.
CoRR
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019 A* conf
Sorting Out Lipschitz Function Approximation.
ICML
Cem Anil, James Lucas, Roger B. Grosse
2019 — conf
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.
ICLR (Poster)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2018 J jnl
Sorting out Lipschitz function approximation.
CoRR
Cem Anil, James Lucas, Roger B. Grosse
2018 J jnl
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.
CoRR
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2018 — conf
Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization.
CVPR Workshops
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
2018 J jnl
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization.
CoRR
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield