The JHU/KyotoU Speech Translation System for IWSLT 2018. - Hirofumi Inaguma; Xuan Zhang 008; Zhiqi Wang; Adithya Renduchintala; Shinji Watanabe 001; Kevin Duh (IWSLT, 2018)

An Empirical Exploration of Curriculum Learning for Neural Machine Translation. - Xuan Zhang 008; Gaurav Kumar; Huda Khayrallah; Kenton Murray; Jeremy Gwinnup; Marianna J. Martindale; Paul McNamee; Kevin Duh; Marine Carpuat (CoRR, 2018)

HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation. - Brian Thompson 001; Rebecca Knowles; Xuan Zhang 008; Huda Khayrallah; Kevin Duh; Philipp Koehn (EMNLP/IJCNLP (1), 2019)

Curriculum Learning for Domain Adaptation in Neural Machine Translation. - Xuan Zhang 008; Pamela Shapiro; Gaurav Kumar; Paul McNamee; Marine Carpuat; Kevin Duh (NAACL-HLT (1), 2019)

Machine Translation System Selection from Bandit Feedback. - Jason Naradowsky; Xuan Zhang 008; Kevin Duh (AMTA, 2020)

Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems. - Xuan Zhang 008; Kevin Duh (Trans. Assoc. Comput. Linguistics, 2020)

Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task. - Xuan Zhang 008; Kevin Duh (AT4SSL@MTSummit, 2021)

Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines. - Kiron Deb; Xuan Zhang 008; Kevin Duh (BlackboxNLP@EMNLP, 2022)

A Hyperparameter Optimization Toolkit for Neural Machine Translation Research. - Xuan Zhang 008; Kevin Duh; Paul McNamee (ACL (demo), 2023)

Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods. - Xuan Zhang 008; Kevin Duh (EMNLP (Findings), 2023)

Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA. - Xuan Zhang 008; Navid Rajabi; Kevin Duh; Philipp Koehn (WMT, 2023)