activity
20172022
most citedReducing Bias in Production Speech Models

11 citations · 15 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL2022

Data-Driven Adaptive Simultaneous Machine Translation

Guangxu Xun, Mingbo Ma, Yuchen Bian +7

In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency. H…

cs.AI2021

Exploiting a Zoo of Checkpoints for Unseen Tasks

Jiaji Huang, Qiang Qiu, Kenneth Church

There are so many models in the literature that it is difficult for practitioners to decide which combinations are likely to be effective for a new task. This paper attempts to add…

cs.CL2021

Better than BERT but Worse than Baseline

Boxiang Liu, Jiaji Huang, Xingyu Cai +1

This paper compares BERT-SQuAD and Ab3P on the Abbreviation Definition Identification (ADI) task. ADI inputs a text and outputs short forms (abbreviations/acronyms) and long forms…

eess.AS2020

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Zhifeng Kong, Wei Ping, Jiaji Huang +2

In this work, we propose DiffWave, a versatile diffusion probabilistic model for conditional and unconditional waveform generation. The model is non-autoregressive, and converts th…

cs.CL2018

Language Modeling at Scale

Mostofa Patwary, Milind Chabbi, Heewoo Jun +3

We show how Zipf's Law can be used to scale up language modeling (LM) to take advantage of more training data and more GPUs. LM plays a key role in many important natural language…

cs.CL2018

Large Margin Neural Language Model

Jiaji Huang, Yi Li, Wei Ping +1

We propose a large margin criterion for training neural language models. Conventionally, neural language models are trained by minimizing perplexity (PPL) on grammatical sentences.…