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ORCIDGeoffrey Irving
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2020 – today
- 2024
[c13]Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras:
Scalable AI Safety via Doubly-Efficient Debate. ICML 2024- 2023
- [i24]Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, John Jumper:
Accelerating Large Language Model Decoding with Speculative Sampling. CoRR abs/2302.01318 (2023) - [i23]Tom Lieberum, Matthew Rahtz, János Kramár, Neel Nanda, Geoffrey Irving, Rohin Shah, Vladimir Mikulik:
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla. CoRR abs/2307.09458 (2023) - [i22]Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras:
Scalable AI Safety via Doubly-Efficient Debate. CoRR abs/2311.14125 (2023) - 2022
- [c12]Ethan Perez, Saffron Huang, H. Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, Geoffrey Irving:
Red Teaming Language Models with Language Models. EMNLP 2022: 3419-3448 - [c11]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:
Taxonomy of Risks posed by Language Models. FAccT 2022: 214-229 - [c10]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:
Improving Language Models by Retrieving from Trillions of Tokens. ICML 2022: 2206-2240 - [c9]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:
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS 2022 - [i21]Ethan Perez, Saffron Huang, H. Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, Geoffrey Irving:
Red Teaming Language Models with Language Models. CoRR abs/2202.03286 (2022) - [i20]Adam Gleave, Geoffrey Irving:
Uncertainty Estimation for Language Reward Models. CoRR abs/2203.07472 (2022) - [i19]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:
Teaching language models to support answers with verified quotes. CoRR abs/2203.11147 (2022) - [i18]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:
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR abs/2206.08325 (2022) - [i17]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:
Improving alignment of dialogue agents via targeted human judgements. CoRR abs/2209.14375 (2022) - [i16]Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving:
Fine-Tuning Language Models via Epistemic Neural Networks. CoRR abs/2211.01568 (2022) - [i15]Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins:
Solving math word problems with process- and outcome-based feedback. CoRR abs/2211.14275 (2022) - 2021
- [i14]Zachary Kenton, Tom Everitt, Laura Weidinger, Iason Gabriel, Vladimir Mikulik, Geoffrey Irving:
Alignment of Language Agents. CoRR abs/2103.14659 (2021) - [i13]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:
Ethical and social risks of harm from Language Models. CoRR abs/2112.04359 (2021) - [i12]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:
Improving language models by retrieving from trillions of tokens. CoRR abs/2112.04426 (2021) - [i11]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:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021)
2010 – 2019
- 2019
- [i10]Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving:
Fine-Tuning Language Models from Human Preferences. CoRR abs/1909.08593 (2019) - 2018
- [c8]Borja Ibarz, Jan Leike, Tobias Pohlen, Geoffrey Irving, Shane Legg, Dario Amodei:
Reward learning from human preferences and demonstrations in Atari. NeurIPS 2018: 8022-8034 - [i9]Geoffrey Irving, Paul F. Christiano, Dario Amodei:
AI safety via debate. CoRR abs/1805.00899 (2018) - [i8]Borja Ibarz, Jan Leike, Tobias Pohlen, Geoffrey Irving, Shane Legg, Dario Amodei:
Reward learning from human preferences and demonstrations in Atari. CoRR abs/1811.06521 (2018) - 2017
- [c7]Sarah M. Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk:
Deep Network Guided Proof Search. LPAR 2017: 85-105 - [i7]Sarah M. Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk:
Deep Network Guided Proof Search. CoRR abs/1701.06972 (2017) - 2016
- [c6]Geoffrey Irving, Christian Szegedy, Alexander A. Alemi, Niklas Eén, François Chollet, Josef Urban:
DeepMath - Deep Sequence Models for Premise Selection. NIPS 2016: 2235-2243 - [c5]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:
TensorFlow: A System for Large-Scale Machine Learning. OSDI 2016: 265-283 - [i6]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:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - [i5]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:
TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016) - [i4]Alexander A. Alemi, François Chollet, Geoffrey Irving, Christian Szegedy, Josef Urban:
DeepMath - Deep Sequence Models for Premise Selection. CoRR abs/1606.04442 (2016) - 2014
- [i3]Geoffrey Irving:
Pentago is a First Player Win: Strongly Solving a Game Using Parallel In-Core Retrograde Analysis. CoRR abs/1404.0743 (2014) - 2013
- [i2]Geoffrey Irving, Forrest Green:
A deterministic pseudorandom perturbation scheme for arbitrary polynomial predicates. CoRR abs/1308.1986 (2013) - 2011
- [j8]Eugene d'Eon, Geoffrey Irving:
A quantized-diffusion model for rendering translucent materials. ACM Trans. Graph. 30(4): 56 (2011) - [j7]Jaewoo Seo, Geoffrey Irving, John P. Lewis, Junyong Noh:
Compression and direct manipulation of complex blendshape models. ACM Trans. Graph. 30(6): 164 (2011) - [i1]Geoffrey Irving:
Banded Householder representation of linear subspaces. CoRR abs/1108.5822 (2011)
2000 – 2009
- 2009
- [j6]Andrew Selle, Jonathan Su, Geoffrey Irving, Ronald Fedkiw:
Robust High-Resolution Cloth Using Parallelism, History-Based Collisions, and Accurate Friction. IEEE Trans. Vis. Comput. Graph. 15(2): 339-350 (2009) - 2008
- [c4]Geoffrey Irving, Ryan Kautzman, Gordon Cameron, Jiayi Chong:
Simulating the devolved: finite elements on WALL·E. SIGGRAPH Talks 2008: 54:1 - 2007
- [b1]Geoffrey Irving:
Methods for the physically based simulation of solids and fluids. Stanford University, USA, 2007 - [j5]Geoffrey Irving, Craig A. Schroeder, Ronald Fedkiw:
Volume conserving finite element simulations of deformable models. ACM Trans. Graph. 26(3): 13 (2007) - [c3]Eftychios Sifakis, Tamar Shinar, Geoffrey Irving, Ronald Fedkiw:
Hybrid simulation of deformable solids. Symposium on Computer Animation 2007: 81-90 - 2006
- [j4]Geoffrey Irving, Joseph Teran, Ronald Fedkiw:
Tetrahedral and hexahedral invertible finite elements. Graph. Model. 68(2): 66-89 (2006) - [j3]Geoffrey Irving, Eran Guendelman, Frank Losasso, Ronald Fedkiw:
Efficient simulation of large bodies of water by coupling two and three dimensional techniques. ACM Trans. Graph. 25(3): 805-811 (2006) - [j2]Frank Losasso, Geoffrey Irving, Eran Guendelman, Ronald Fedkiw:
Melting and Burning Solids into Liquids and Gases. IEEE Trans. Vis. Comput. Graph. 12(3): 343-352 (2006) - 2005
- [c2]Joseph Teran, Eftychios Sifakis, Geoffrey Irving, Ronald Fedkiw:
Robust quasistatic finite elements and flesh simulation. Symposium on Computer Animation 2005: 181-190 - 2004
- [c1]Geoffrey Irving, Joseph Teran, Ronald Fedkiw:
Invertible finite elements for robust simulation of large deformation. Symposium on Computer Animation 2004: 131-140 - 2000
- [j1]Geoffrey Irving, Jeroen Donkers, Jos Uiterwijk:
Solving Kalah. J. Int. Comput. Games Assoc. 23(3): 139-147 (2000)
Coauthor Index
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