| Neural Variational Inference for Text Processing Y Miao, L Yu, P Blunsom ICML 2016, 2016 | 687 | 2016 |
| Deep learning for answer sentence selection L Yu, KM Hermann, P Blunsom, S Pulman NIPS Deep Learning and Representation Learning Workshop, 2014 | 508 | 2014 |
| Systems Analysis of Auxin Transport in the Arabidopsis Root Apex LR Band, DM Wells, JA Fozard, T Ghetiu, AP French, MP Pound, ... The Plant Cell 26 (3), 862-875, 2014 | 207 | 2014 |
| Learning and evaluating general linguistic intelligence D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ... arXiv preprint arXiv:1901.11373, 2019 | 176* | 2019 |
| Unsupervised Recurrent Neural Network Grammars Y Kim, AM Rush, L Yu, A Kuncoro, C Dyer, G Melis NAACL 2019, 2019 | 134 | 2019 |
| A Mutual Information Maximization Perspective of Language Representation Learning L Kong, CM d'Autume, W Ling, L Yu, Z Dai, D Yogatama ICLR 2020, 2019 | 111* | 2019 |
| Online Segment to Segment Neural Transduction L Yu, J Buys, P Blunsom EMNLP 2016, 2016 | 100 | 2016 |
| The Neural Noisy Channel L Yu, P Blunsom, C Dyer, E Grefenstette, T Kocisky ICLR 2017, 2017 | 77 | 2017 |
| Variational Smoothing in Recurrent Neural Network Language Models L Kong, G Melis, W Ling, L Yu, D Yogatama ICLR 2019, 2018 | 72* | 2018 |
| IsarStep: a Benchmark for High-level Mathematical Reasoning W Li, L Yu, Y Wu, LC Paulson ICLR 2021, 2021 | 51* | 2021 |
| Better Document-Level Machine Translation with Bayes' Rule L Yu, L Sartran, W Stokowiec, W Ling, L Kong, P Blunsom, C Dyer TACL 2020, 2020 | 43* | 2020 |
| Pretraining the Noisy Channel Model for Task-Oriented Dialogue Q Liu, L Yu, L Rimell, P Blunsom TACL 2021, 2021 | 25 | 2021 |
| Capturing document context inside sentence-level neural machine translation models with self-training E Mansimov, G Melis, L Yu arXiv preprint arXiv:2003.05259, 2020 | 14 | 2020 |
| The DeepMind Chinese–English Document Translation System at WMT2020 L Yu, L Sartran, PS Huang, W Stokowiec, D Donato, S Srinivasan, ... WMT 2020, 2020 | 13 | 2020 |
| Diverse Pretrained Context Encodings Improve Document Translation D Donato, L Yu, C Dyer ACL 2021, 2021 | 9 | 2021 |
| A formal model of IEEE floating point arithmetic L Yu Archive of Formal Proofs, 91-104, 2013 | 8 | 2013 |
| MAD for Robust Reinforcement Learning in Machine Translation D Donato, L Yu, W Ling, C Dyer arXiv preprint arXiv:2207.08583, 2022 | 5 | 2022 |
| Sentence encoding with tree-constrained relation networks L Yu, CM d'Autume, C Dyer, P Blunsom, L Kong, W Ling arXiv preprint arXiv:1811.10475, 2018 | 4 | 2018 |
| Sequence transduction neural networks L Yu, CJ Dyer, T Kocisky, P Blunsom US Patent 10,572,603, 2020 | 3 | 2020 |
| Tackling Sequence to Sequence Mapping Problems with Neural Networks L Yu PhD thesis, 2018 | 2 | 2018 |
Phil BlunsomOxford University & CohereVerified email at cs.ox.ac.uk
