Putting Machine Translation in Context with the Noisy Channel Model. - Lei Yu 008; Laurent Sartran; Wojciech Stokowiec; Wang Ling; Lingpeng Kong; Phil Blunsom; Chris Dyer (CoRR, 2019)

The DeepMind Chinese-English Document Translation System at WMT2020. - Lei Yu 008; Laurent Sartran; Po-Sen Huang; Wojciech Stokowiec; Domenic Donato; Srivatsan Srinivasan; Alek Andreev; Wang Ling; Sona Mokrá; Agustin Dal Lago; Yotam Doron; Susannah Young; et al. (WMT@EMNLP, 2020)

Better Document-Level Machine Translation with Bayes' Rule. - Lei Yu 008; Laurent Sartran; Wojciech Stokowiec; Wang Ling; Lingpeng Kong; Phil Blunsom; Chris Dyer (Trans. Assoc. Comput. Linguistics, 2020)

Rapid Task-Solving in Novel Environments. - Samuel Ritter; Ryan Faulkner 001; Laurent Sartran; Adam Santoro; Matthew M. Botvinick; David Raposo (ICLR, 2021)

Enabling Arbitrary Translation Objectives with Adaptive Tree Search. - Wang Ling; Wojciech Stokowiec; Domenic Donato; Chris Dyer; Lei Yu 008; Laurent Sartran; Austin Matthews (ICLR, 2022)

Continuous diffusion for categorical data. - Sander Dieleman; Laurent Sartran; Arman Roshannai; Nikolay Savinov; Yaroslav Ganin; Pierre H. Richemond; Arnaud Doucet; Robin Strudel; Chris Dyer; Conor Durkan; Curtis Hawthorne; Rémi Leblond; et al. (CoRR, 2022)

Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. - Laurent Sartran; Samuel Barrett; Adhiguna Kuncoro; Milos Stanojevic; Phil Blunsom; Chris Dyer (Trans. Assoc. Comput. Linguistics, 2022)

Measuring Progress in Fine-grained Vision-and-Language Understanding. - Emanuele Bugliarello; Laurent Sartran; Aishwarya Agrawal; Lisa Anne Hendricks; Aida Nematzadeh (ACL (1), 2023)

SynJax: Structured Probability Distributions for JAX. - Milos Stanojevic; Laurent Sartran (EMNLP (Demos), 2023)