Runner: A 2D platform game for physical health promotion. - Camille El-Habr; Xavier Garcia; Pujana Paliyawan; Ruck Thawonmas (SoftwareX, 2019)

A Multilingual View of Unsupervised Machine Translation. - Xavier Garcia; Pierre Foret; Thibault Sellam; Ankur P. Parikh (EMNLP (Findings), 2020)

Machine learning applied in the multi-scale 3D stress modelling. - Xavier Garcia; Adrian Rodriguez-Herrera (CoRR, 2020)

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. - Xavier Garcia; Noah Constant; Ankur P. Parikh; Orhan Firat (NAACL-HLT, 2021)

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. - Xavier Garcia; Aditya Siddhant; Orhan Firat; Ankur P. Parikh (NAACL-HLT, 2021)

Towards Universality in Multilingual Text Rewriting. - Xavier Garcia; Noah Constant; Mandy Guo; Orhan Firat (CoRR, 2021)

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (CoRR, 2021)

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (ACL (1), 2022)

Scaling Laws for Neural Machine Translation. - Behrooz Ghorbani; Orhan Firat; Markus Freitag; Ankur Bapna; Maxim Krikun; Xavier Garcia; Ciprian Chelba; Colin Cherry (ICLR, 2022)

Examining Scaling and Transfer of Language Model Architectures for Machine Translation. - Biao Zhang 006; Behrooz Ghorbani; Ankur Bapna; Yong Cheng; Xavier Garcia; Jonathan Shen; Orhan Firat (ICML, 2022)

Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning. - Aditya Siddhant; Ankur Bapna; Orhan Firat; Yuan Cao 007; Mia Xu Chen; Isaac Caswell; Xavier Garcia (CoRR, 2022)

Using natural language prompts for machine translation. - Xavier Garcia; Orhan Firat (CoRR, 2022)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Anselm Levskaya; Gaurav Mishra; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (CoRR, 2022)

Building Machine Translation Systems for the Next Thousand Languages. - Ankur Bapna; Isaac Caswell; Julia Kreutzer; Orhan Firat; Daan van Esch; Aditya Siddhant; Mengmeng Niu; Pallavi Baljekar; Xavier Garcia; Wolfgang Macherey; Theresa Breiner; Vera Axelrod; et al. (CoRR, 2022)

Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Neil Houlsby; Donald Metzler (CoRR, 2022)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining. - Hyung Won Chung; Xavier Garcia; Adam Roberts; Yi Tay; Orhan Firat; Sharan Narang; Noah Constant (ICLR, 2023)

UL2: Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Jason Wei; Xuezhi Wang 002; Hyung Won Chung; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Denny Zhou; Neil Houlsby; et al. (ICLR, 2023)

Scaling Laws for Multilingual Neural Machine Translation. - Patrick Fernandes; Behrooz Ghorbani; Xavier Garcia; Markus Freitag; Orhan Firat (ICML, 2023)

The Unreasonable Effectiveness of Few-shot Learning for Machine Translation. - Xavier Garcia; Yamini Bansal; Colin Cherry; George F. Foster; Maxim Krikun; Melvin Johnson; Orhan Firat (ICML, 2023)

Measuring the Impact of Programming Language Distribution. - Gabriel Orlanski; Kefan Xiao; Xavier Garcia; Jeffrey Hui; Joshua Howland; Jonathan Malmaud; Jacob Austin; Rishabh Singh; Michele Catasta (ICML, 2023)

Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction. - Jonathan Pilault; Xavier Garcia; Arthur Brazinskas; Orhan Firat (IJCNLP (1), 2023)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (NeurIPS, 2023)

The unreasonable effectiveness of few-shot learning for machine translation. - Xavier Garcia; Yamini Bansal; Colin Cherry; George F. Foster; Maxim Krikun; Fangxiaoyu Feng; Melvin Johnson; Orhan Firat (CoRR, 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

Cross-Lingual Supervision improves Large Language Models Pre-training. - Andrea Schioppa; Xavier Garcia; Orhan Firat (CoRR, 2023)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Christopher A. Choquette-Choo; Katherine Lee; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 2023)

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. - Parker Riley; Timothy Dozat; Jan A. Botha; Xavier Garcia; Dan Garrette; Jason Riesa; Orhan Firat; Noah Constant (Trans. Assoc. Comput. Linguistics, 2023)

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model. - Christian Tomani; David Vilar; Markus Freitag; Colin Cherry; Subhajit Naskar; Mara Finkelstein; Xavier Garcia; Daniel Cremers (ACL (1), 2024)

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. - Avi Singh; John D. Co-Reyes; Rishabh Agarwal; Ankesh Anand; Piyush Patil; Xavier Garcia; Peter J. Liu; James Harrison; Jaehoon Lee 001; Kelvin Xu; Aaron T. Parisi; Abhishek Kumar; et al. (Trans. Mach. Learn. Res., 2024)

Deep-reinforcement-learning-based separation control in a two-dimensional airfoil. - Xavier Garcia; Arnau Miró; Pol Suárez; Francisco Alcántara-Ávila; Jean Rabault; Bernat Font; Oriol Lehmkuhl; Ricardo Vinuesa (CoRR, 2025)