Cyprien de Masson d'Autume
Cyprien de Masson d'Autume
Verified email at
Cited by
Cited by
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
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
Episodic memory in lifelong language learning
C de Masson D'Autume, S Ruder, L Kong, D Yogatama
Advances in Neural Information Processing Systems 32, 2019
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
arXiv preprint arXiv:2203.07814, 2022
A mutual information maximization perspective of language representation learning
L Kong, CM d'Autume, W Ling, L Yu, Z Dai, D Yogatama
arXiv preprint arXiv:1910.08350, 2019
Psychlab: a psychology laboratory for deep reinforcement learning agents
JZ Leibo, CM d'Autume, D Zoran, D Amos, C Beattie, K Anderson, ...
arXiv preprint arXiv:1801.08116, 2018
Training language gans from scratch
C de Masson d'Autume, S Mohamed, M Rosca, J Rae
Advances in Neural Information Processing Systems 32, 2019
Adaptive semiparametric language models
D Yogatama, C de Masson d’Autume, L Kong
Transactions of the Association for Computational Linguistics 9, 362-373, 2021
Mind the gap: Assessing temporal generalization in neural language models
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
Advances in Neural Information Processing Systems 34, 29348-29363, 2021
Pitfalls of static language modelling
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
arXiv preprint arXiv:2102.01951, 2021
Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models
A Liska, T Kocisky, E Gribovskaya, T Terzi, E Sezener, D Agrawal, ...
International Conference on Machine Learning, 13604-13622, 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
A Systematic Investigation of Commonsense Understanding in Large Language Models
XL Li, A Kuncoro, CM d'Autume, P Blunsom, A Nematzadeh
arXiv preprint arXiv:2111.00607, 2021
The system can't perform the operation now. Try again later.
Articles 1–13