About
I am a research scientist working in the Language team at DeepMind. I’m interested in a broad range of phenomena at the intersection of linguistics, natural language processing and machine learning.
Publications
(see my Google Scholar for more info)
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You should evaluate your language model on marginal likelihood over tokenizations
Kris Cao, Laura Rimell
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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, Tomas Kocisky, Susannah Young, Phil Blunsom
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Game Plan: What AI can do for Football, and What Football can do for AI
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
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Modelling latent skills for multitask language generation
Kris Cao, Dani Yogatama
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Factorising AMR generation through syntax
Kris Cao, Stephen Clark
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Emergent communication through negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark
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Latent variable dialogue models and their diversity
Kris Cao, Stephen Clark
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A joint model of word embedding and word morphology
Kris Cao, Marek Rei