Xinyi Wang

Multilingual Neural Machine Translation With Soft Decoupled Encoding

2019 · arXiv (Cornell University)

Multilingual training of neural machine translation (NMT) systems has led to impressive accuracy improvements on low-resource languages. However, there are still significant challenges in efficiently learning word representations in the face of paucity of data. …

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

2019

Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). 2019.

Study on geological meaning and application of mine water inflow series after phase space reconstruction

2023 · Research Square

Abstract The conclusion that the column vector of the phase space after reconstruction of the mine water inflow sequence has a clear geological meaning is proposed and verified by an example, and then a prediction …

Quantum Approximate Optimization Algorithm for Test Case Optimization

2023 · arXiv (Cornell University)

Test case optimization (TCO) reduces software testing cost while preserving its effectiveness, but solving TCO problems for large-scale and complex systems requires substantial computational resources. Quantum approximate optimization algorithms (QAOAs) are promising combinatorial optimization algorithms …

Disentangling Memory and Reasoning Ability in Large Language Models

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have demonstrated strong performance in handling complex tasks requiring both extensive knowledge and reasoning abilities. However, the existing LLM inference pipeline operates as an opaque process without explicit separation between knowledge …

XNMT: The eXtensible Neural Machine Translation Toolkit

2018 · arXiv (Cornell University)

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research …

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation

2018

In this work, we examine methods for data augmentation for text-based tasks such as neural machine translation (NMT). We formulate the design of a data augmentation policy with desirable properties as an optimization problem, and …

A Probabilistic Formulation of Unsupervised Text Style Transfer

2020 · arXiv (Cornell University)

We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. Our probabilistic approach models non-parallel data from two domains as a partially observed parallel corpus. By hypothesizing a …