The burgeoning progress in the field of Large Language Models (LLMs) her...
Modern NLP models are often trained over large untrusted datasets, raisi...
Large-scale language models have achieved tremendous success across vari...
Previous works have validated that text generation APIs can be stolen th...
A parallel corpus is generally required to automatically evaluate the
tr...
In this paper, we propose a variational autoencoder with disentanglement...
Nowadays, due to the breakthrough in natural language generation (NLG),
...
Estimating the performance of a machine learning system is a longstandin...
Machine-learning-as-a-service (MLaaS) has attracted millions of users to...
Natural language processing (NLP) tasks, ranging from text classificatio...
In this paper, we describe ALTER, an auxiliary text rewriting tool that
...
In this paper, we investigate the diversity aspect of paraphrase generat...