Kris Cao

According to our database, Kris Cao authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance.

Omer Goldman, Avi Caciularu, Matan Eyal, Kris Cao, Idan Szpektor, Reut Tsarfaty

CoRR, 2024

2023

What is the best recipe for character-level encoder-only modelling?

Kris Cao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Towards Coherent and Consistent Use of Entities in Narrative Generation.

Pinelopi Papalampidi, Kris Cao, Tomás Kociský

Proceedings of the International Conference on Machine Learning, 2022

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

J. Artif. Intell. Res., 2021

Control Prefixes for Text Generation.

Jordan Clive, Kris Cao, Marek Rei

CoRR, 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, Susannah Young, Phil Blunsom

CoRR, 2021

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, Susannah Young, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

You should evaluate your language model on marginal likelihood over tokenisations.

Kris Cao, Laura Rimell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Modelling Latent Skills for Multitask Language Generation.

Kris Cao, Dani Yogatama

CoRR, 2020

2019

Learning meaning representations for text generation with deep generative models

Kris Cao

PhD thesis, 2019

Factorising AMR generation through syntax.

Kris Cao, Stephen Clark

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Generating syntactically varied realisations from AMR graphs.

Kris Cao, Stephen Clark

CoRR, 2018

Emergent Communication through Negotiation.

Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Latent Variable Dialogue Models and their Diversity.

Kris Cao, Stephen Clark

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

A Joint Model for Word Embedding and Word Morphology.

Kris Cao, Marek Rei

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016