Xuan Zhang

Xuan Zhang

Book Chapters
  • Sign Language Gloss Translation [pdf][bib]
    Xuan Zhang, Kevin Duh
    A. Way, L. Leeson, D. Shterionov & C. Rathmann (Eds.), Sign Language Machine Translation. Springer. 2023

Dissertation
  • Hyperparameter Optimization for Neural Machine Translation Systems [pdf]
    August 2024

Papers
  • Best Practices of Successive Halving on Neural Machine Translation and Large Language Models
    Xuan Zhang, Kevin Duh
    AMTA 2024
    [pdf] [bib] [dataset] [code]

  • Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods
    Xuan Zhang, Kevin Duh
    EMNLP 2023
    [pdf] [bib] [dataset] [code] [poster]

  • Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA
    Xuan Zhang, Navid Rajabi, Kevin Duh, Philipp Koehn
    WMT 2023
    [pdf] [bib] [slides]

  • A Hyperparameter Optimization Toolkit for Neural Machine Translation Research
    Xuan Zhang, Kevin Duh, Paul McNamee
    ACL 2023
    [pdf] [bib] [poster]

  • Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines
    Xuan Zhang*, Kiron Deb*#, Kevin Duh
    BlackboxNLP@EMNLP2022
    [pdf] [bib] [poster]

  • Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task
    Xuan Zhang, Kevin Duh
    AT4SSL@MTSummit2021
    [pdf] [bib] [slides]

  • Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems
    Xuan Zhang, Kevin Duh
    TACL 2020
    [pdf] [bib] [dataset] [code] [EMNLP_slides]

  • Machine Translation System Selection from Bandit Feedback
    Jason Naradowsky, Xuan Zhang, Kevin Duh
    AMTA 2020
    [pdf] [bib]

  • HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
    Xuan Zhang*, Brian Thompson*, Rebecca Knowles*, Huda Khayrallah, Kevin Duh, Philipp Koehn
    Proceedings of EMNLP-IJCNLP 2019, Hong Kong, China.
    [pdf] [bib] [dataset] [poster]

  • Curriculum Learning for Domain Adaptation in Neural Machine Translation
    Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, and Kevin Duh
    Proceedings of NAACL-HLT 2019, Minneapolis, Minnesota.
    [pdf] [bib] [code] [poster] [one-minute madness]

  • An Empirical Exploration of Curriculum Learning for Neural Machine Translation
    Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J Martindale, Paul McNamee, Kevin Duh, and Marine Carpuat
    arXiv preprint 1811.00739.
    [pdf] [bib] [code]

  • The JHU/KyotoU Speech Translation System for IWSLT 2018
    Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe and Kevin Duh
    Proceedings of IWSLT 2018, Bruges, Belgium.
    [pdf] [bib]

* indicates shared first authorship.
# indicates students Xuan mentored.