Sotabase

Career

· Director Of Research, Foundational Research Board Member, And Program Area Lead, Google DeepMind2023–
· Head Of Machine Learning, Cohere2022–2023
· Honorary Professor Of UCL, UCL2021–
· Research Scientist, RL Area Lead (FAIR), Facebook AI2018–2022
· Honorary Associate Professor, UCL2018–2021
· Co-Founder And CTO, Dark Blue Labs2014–2014
· Staff Research Scientist, DeepMind2014–2018
· Fulford Junior Research Fellow, University of Oxford, Somerville College2013–2015
· Postdoctoral Researcher, Department of Computer Science, University of Oxford2012–2014
· College Lecturer, Hertford College, University of Oxford2011–2014
· DPhil Computer Science Student, Department of Computer Science, University of Oxford2009–2013
· English Teacher, Kokusai Eiken Center2007–2007
· Chairman, British Undergraduate Philosophy Society2006–2007
· PRS Subject Centre Advisory Board Member, Higher Education Academy2006–2007
· Assistant English Teacher, Kokusai Eiken Center2005–2005
· Assistant English Teacher, Kokusai Eiken Center2003–2005

Publications (100)

Teaching Machines to Read and Comprehend
Neural Information Processing Systems · 2015
3,757
cited
A Convolutional Neural Network for Modelling Sentences
Annual Meeting of the Association for Computational Linguistics · 2014
3,633
cited
Hybrid computing using a neural network with dynamic external memory
Nature · 2016
1,683
cited
The NarrativeQA Reading Comprehension Challenge
Transactions of the Association for Computational Linguistics · 2017
939
cited
Reasoning about Entailment with Neural Attention
International Conference on Learning Representations · 2015
775
cited
Learning Explanatory Rules from Noisy Data
Journal of Artificial Intelligence Research · 2017
522
cited
Analysing Mathematical Reasoning Abilities of Neural Models
International Conference on Learning Representations · 2019
492
cited
Latent Predictor Networks for Code Generation
Annual Meeting of the Association for Computational Linguistics · 2016
404
cited
Experimental Support for a Categorical Compositional Distributional Model of Meaning
Conference on Empirical Methods in Natural Language Processing · 2011
351
cited
Discovering Discrete Latent Topics with Neural Variational Inference
International Conference on Machine Learning · 2017
327
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
Learning to Transduce with Unbounded Memory
Neural Information Processing Systems · 2015
304
cited
Understanding the Effects of RLHF on LLM Generalisation and Diversity
International Conference on Learning Representations · 2023
281
cited
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Journal of Artificial Intelligence Research · 2021
227
cited
The NetHack Learning Environment
Neural Information Processing Systems · 2020
210
cited
Debating with More Persuasive LLMs Leads to More Truthful Answers
International Conference on Machine Learning · 2024
208
cited
Prioritized Level Replay
International Conference on Machine Learning · 2020
196
cited
A Survey of Generalisation in Deep Reinforcement Learning
arXiv.org · 2021
191
cited
Evolving Curricula with Regret-Based Environment Design
International Conference on Machine Learning · 2022
166
cited
Learning to Understand Goal Specifications by Modelling Reward
International Conference on Learning Representations · 2018
166
cited
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