Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents. - Joel Z. Leibo; Cyprien de Masson d'Autume; Daniel Zoran; David Amos; Charles Beattie; Keith Anderson; Antonio García Castañeda; Manuel Sanchez; Simon Green; Audrunas Gruslys; Shane Legg; Demis Hassabis; et al. (CoRR, 2018)

Sentence Encoding with Tree-constrained Relation Networks. - Lei Yu 008; Cyprien de Masson d'Autume; Chris Dyer; Phil Blunsom; Lingpeng Kong; Wang Ling (CoRR, 2018)

Training Language GANs from Scratch. - Cyprien de Masson d'Autume; Shakir Mohamed; Mihaela Rosca; Jack W. Rae (NeurIPS, 2019)

Episodic Memory in Lifelong Language Learning. - Cyprien de Masson d'Autume; Sebastian Ruder; Lingpeng Kong; Dani Yogatama (NeurIPS, 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 008; Chris Dyer; Phil Blunsom (CoRR, 2019)

A Mutual Information Maximization Perspective of Language Representation Learning. - Lingpeng Kong; Cyprien de Masson d'Autume; Lei Yu 008; Wang Ling; Zihang Dai; Dani Yogatama (ICLR, 2020)

Mind the Gap: Assessing Temporal Generalization in Neural Language Models. - Angeliki Lazaridou; Adhiguna Kuncoro; Elena Gribovskaya; Devang Agrawal; Adam Liska; Tayfun Terzi; Mai Gimenez; Cyprien de Masson d'Autume; Tomás Kociský; Sebastian Ruder; Dani Yogatama; Kris Cao; et al. (NeurIPS, 2021)

Pitfalls of Static Language Modelling. - Angeliki Lazaridou; Adhiguna Kuncoro; Elena Gribovskaya; Devang Agrawal; Adam Liska; Tayfun Terzi; Mai Gimenez; Cyprien de Masson d'Autume; Sebastian Ruder; Dani Yogatama; Kris Cao; Tomás Kociský; et al. (CoRR, 2021)

A Systematic Investigation of Commonsense Understanding in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Adaptive Semiparametric Language Models. - Dani Yogatama; Cyprien de Masson d'Autume; Lingpeng Kong (Trans. Assoc. Comput. Linguistics, 2021)

A Systematic Investigation of Commonsense Knowledge in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Jordan Hoffmann; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (EMNLP, 2022)

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. - Adam Liska; Tomás Kociský; Elena Gribovskaya; Tayfun Terzi; Eren Sezener; Devang Agrawal; Cyprien de Masson d'Autume; Tim Scholtes; Manzil Zaheer; Susannah Young; Ellen Gilsenan-McMahon; Sophia Austin; et al. (ICML, 2022)

Competition-Level Code Generation with AlphaCode. - Yujia Li 001; David H. Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; et al. (CoRR, 2022)

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. - Aitor Ormazabal; Che Zheng; Cyprien de Masson d'Autume; Dani Yogatama; Deyu Fu; Donovan Ong; Eric Chen; Eugenie Lamprecht; Hai Pham; Isaac Ong; Kaloyan Aleksiev; Lei Li 039; et al. (CoRR, 2024)

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. - Piotr Padlewski; Max Bain; Matthew Henderson; Zhongkai Zhu; Nishant Relan; Hai Pham; Donovan Ong; Kaloyan Aleksiev; Aitor Ormazabal; Samuel Phua; Ethan Yeo; Eugenie Lamprecht; et al. (CoRR, 2024)