Geoffrey Irving

According to our database, Geoffrey Irving authored at least 40 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Scalable AI Safety via Doubly-Efficient Debate.

Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Tom Lieberum, Matthew Rahtz, János Kramár, Neel Nanda, Geoffrey Irving, Rohin Shah, Vladimir Mikulik

CoRR, 2023

Accelerating Large Language Model Decoding with Speculative Sampling.

Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, John Jumper

CoRR, 2023

2022

Solving math word problems with process- and outcome-based feedback.

Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins

CoRR, 2022

Fine-Tuning Language Models via Epistemic Neural Networks.

Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving

CoRR, 2022

Improving alignment of dialogue agents via targeted human judgements.

Amelia Glaese, Nat McAleese, Maja Trebacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin J. Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Sona Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving

CoRR, 2022

Teaching language models to support answers with verified quotes.

Jacob Menick, Maja Trebacz, Vladimir Mikulik, John Aslanides, H. Francis Song, Martin J. Chadwick, Mia Glaese, Susannah Young, Lucy Campbell-Gillingham, Geoffrey Irving, Nat McAleese

CoRR, 2022

Uncertainty Estimation for Language Reward Models.

Adam Gleave, Geoffrey Irving

CoRR, 2022

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.

Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Language Models by Retrieving from Trillions of Tokens.

Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre

Proceedings of the International Conference on Machine Learning, 2022

Taxonomy of Risks posed by Language Models.

Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Red Teaming Language Models with Language Models.

Ethan Perez, Saffron Huang, H. Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, Geoffrey Irving

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

CoRR, 2021

Ethical and social risks of harm from Language Models.

Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel

CoRR, 2021

Alignment of Language Agents.

Zachary Kenton, Tom Everitt, Laura Weidinger, Iason Gabriel, Vladimir Mikulik, Geoffrey Irving

CoRR, 2021

2019

Fine-Tuning Language Models from Human Preferences.

Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving

CoRR, 2019

2018

AI safety via debate.

Geoffrey Irving, Paul F. Christiano, Dario Amodei

CoRR, 2018

Reward learning from human preferences and demonstrations in Atari.

Borja Ibarz, Jan Leike, Tobias Pohlen, Geoffrey Irving, Shane Legg, Dario Amodei

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Network Guided Proof Search.

Sarah M. Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk

Proceedings of the LPAR-21, 2017

2016

DeepMath - Deep Sequence Models for Premise Selection.

Alexander A. Alemi, François Chollet, Geoffrey Irving, Christian Szegedy, Josef Urban

CoRR, 2016

TensorFlow: A system for large-scale machine learning.

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang

CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

CoRR, 2016

TensorFlow: A System for Large-Scale Machine Learning.

Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

DeepMath - Deep Sequence Models for Premise Selection.

Geoffrey Irving, Christian Szegedy, Alexander A. Alemi, Niklas Eén, François Chollet, Josef Urban

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Pentago is a First Player Win: Strongly Solving a Game Using Parallel In-Core Retrograde Analysis.

Geoffrey Irving

CoRR, 2014

2013

A deterministic pseudorandom perturbation scheme for arbitrary polynomial predicates.

Geoffrey Irving, Forrest Green

CoRR, 2013

2011

A quantized-diffusion model for rendering translucent materials.

Eugene d'Eon, Geoffrey Irving

ACM Trans. Graph., 2011

Compression and direct manipulation of complex blendshape models.

Jaewoo Seo, Geoffrey Irving, John P. Lewis, Junyong Noh

ACM Trans. Graph., 2011

Banded Householder representation of linear subspaces

Geoffrey Irving

CoRR, 2011

2009

Robust High-Resolution Cloth Using Parallelism, History-Based Collisions, and Accurate Friction.

Andrew Selle, Jonathan Su, Geoffrey Irving, Ronald Fedkiw

IEEE Trans. Vis. Comput. Graph., 2009

2008

Simulating the devolved: finite elements on WALL·E.

Geoffrey Irving, Ryan Kautzman, Gordon Cameron, Jiayi Chong

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

2007

Methods for the physically based simulation of solids and fluids.

Geoffrey Irving

PhD thesis, 2007

Volume conserving finite element simulations of deformable models.

Geoffrey Irving, Craig A. Schroeder, Ronald Fedkiw

ACM Trans. Graph., 2007

Hybrid simulation of deformable solids.

Eftychios Sifakis, Tamar Shinar, Geoffrey Irving, Ronald Fedkiw

Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2007

2006

Melting and Burning Solids into Liquids and Gases.

Frank Losasso, Geoffrey Irving, Eran Guendelman, Ronald Fedkiw

IEEE Trans. Vis. Comput. Graph., 2006

Efficient simulation of large bodies of water by coupling two and three dimensional techniques.

Geoffrey Irving, Eran Guendelman, Frank Losasso, Ronald Fedkiw

ACM Trans. Graph., 2006

Tetrahedral and hexahedral invertible finite elements.

Geoffrey Irving, Joseph Teran, Ronald Fedkiw

Graph. Model., 2006

2005

Robust quasistatic finite elements and flesh simulation.

Joseph Teran, Eftychios Sifakis, Geoffrey Irving, Ronald Fedkiw

Proceedings of the 2005 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2005

2004

Invertible finite elements for robust simulation of large deformation.

Geoffrey Irving, Joseph Teran, Ronald Fedkiw

Proceedings of the 2004 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2004

2000

Solving Kalah.

Geoffrey Irving, Jeroen Donkers, Jos Uiterwijk

J. Int. Comput. Games Assoc., 2000