Lei Yu

According to our database, Lei Yu authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Reparameterized Discrete Diffusion Model for Text Generation.

Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong

CoRR, 2023

A Natural Bias for Language Generation Models.

Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

MAD for Robust Reinforcement Learning in Machine Translation.

Domenic Donato, Lei Yu, Wang Ling, Chris Dyer

CoRR, 2022

Enabling Arbitrary Translation Objectives with Adaptive Tree Search.

Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pretraining the Noisy Channel Model for Task-Oriented Dialogue.

Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2021

Diverse Pretrained Context Encodings Improve Document Translation.

Domenic Donato, Lei Yu, Chris Dyer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Better Document-Level Machine Translation with Bayes' Rule.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

Trans. Assoc. Comput. Linguistics, 2020

The DeepMind Chinese-English Document Translation System at WMT2020.

Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer

Proceedings of the Fifth Conference on Machine Translation, 2020

A Mutual Information Maximization Perspective of Language Representation Learning.

Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Putting Machine Translation in Context with the Noisy Channel Model.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

CoRR, 2019

Learning and Evaluating General Linguistic Intelligence.

Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom

CoRR, 2019

Unsupervised Recurrent Neural Network Grammars.

Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Variational Smoothing in Recurrent Neural Network Language Models.

Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sentence Encoding with Tree-constrained Relation Networks.

Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling

CoRR, 2018

2017

The Neural Noisy Channel.

Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Neural Variational Inference for Text Processing.

Yishu Miao, Lei Yu, Phil Blunsom

Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Segment to Segment Neural Transduction.

Lei Yu, Jan Buys, Phil Blunsom

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

Deep Learning for Answer Sentence Selection.

Lei Yu, Karl Moritz Hermann, Phil Blunsom, Stephen Pulman

CoRR, 2014