Publications

Date: 6 Dec 23 6 December 2023
Title: MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
Authors: You-Jun Chen*, Hsin-Yi Hsieh*, Yu-Tung Lin*, Yingtao Tian, Bert Chan, Yu-Sin Liu*, Yi-Hsuan Lin*, Richard Tzong-Han Tsai*
Venue: EMNLP 2023

Date: 6 Dec 23 6 December 2023
Title: SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
Authors: Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur Parikh
Venue: EMNLP 2023

Date: 6 Dec 23 6 December 2023
Title: Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Authors: Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo
Venue: arXiv

Date: 5 Dec 23 5 December 2023
Title: Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Authors: Zi Wang, Alexander Ku, Jason Baldridge, Thomas L. Griffiths, Been Kim
Venue: NeurIPS 2023

Date: 5 Dec 23 5 December 2023
Title: RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
Authors: Yuxiang Zhou, Todor Davchev, Maria Bauza, Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex Lee
Venue: Transactions on Machine Learning Research (TMLR)

Date: 2 Dec 23 2 December 2023
Title: RLHF and IIA: Perverse Incentives
Authors: Wanqiao Xu*, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
Venue: arXiv

Date: 29 Nov 23 29 November 2023
Title: SODA: Bottleneck Diffusion Models for Representation Learning
Authors: Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew Lampinen, Drew Jaegle, Jay Mcclelland, Loic Matthey, Felix Hill, Alexander Lerchner
Venue: CVPR 2024

Date: 29 Nov 23 29 November 2023
Title: Universal Self-Consistency with Large Language Models
Authors: Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
Venue: arXiv

Date: 29 Nov 23 29 November 2023
Title: Accelerating Neural Field Training via Langevin Monte-Carlo Sampling
Authors: Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Venue: CVPR 2024

Date: 29 Nov 23 29 November 2023
Title: Unsupervised Keypoints with Stable Diffusion
Authors: Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
Venue: CVPR 2024

Date: 27 Nov 23 27 November 2023
Title: Replay Across Experiments
Authors: Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
Venue: arXiv

Date: 17 Nov 23 17 November 2023
Title: No agent is an island: A social path to human-like artificial intelligence
Authors: Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
Venue: Nature Machine Intelligence

Date: 14 Nov 23 14 November 2023
Title: Report of the 1st Workshop on Generative AI and Law
Authors: A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide
Venue: arXiv

Date: 14 Nov 23 14 November 2023
Title: DiLoCo: Distributed Low-Communication Training of Language Models
Authors: Arthur Douillard, Qixuan Feng, Andrei Rusu, Rachita Chhaparia, Yani Donchev, Adhi Kuncoro, Marc'aurelio Ranzato, Arthur Szlam, Jiajun Shen
Venue: arXiv

Date: 14 Nov 23 14 November 2023
Title: GraphCast: Learned Global Weather Forecasting
Authors: Remi Lam, Alvaro Sanchez, Matthew Willson, Meire Fortunato, Peter Wirnsberger, Alexander Pritzel, Timo Ewalds, Zach Eaton-Rosen, Ferran Alet, Jacklynn Stott, Shakir Mohamed, ravuris , Oriol Vinyals, George Holland
Venue: Science

Date: 10 Nov 23 10 November 2023
Title: Emotions and courtship help bonded pairs cooperate, but emotional agents are vulnerable to deceit
Authors: Suzanne Sadedin, Edgar A. Duéñez-Guzmán, Joel Z. Leibo
Venue: Proceedings of the National Academy of Sciences (PNAS)

Explore our other teams and product areas