The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by
its unnormalized (log-) probabilities. Over the past years, the machine learning community …

This paper focuses on paraphrase generation, which is a widely studied natural language
generation task in NLP. With the development of neural models, paraphrase generation …

Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

The stylistic properties of text have intrigued computational linguistics researchers in recent
years. Specifically, researchers have investigated the text style transfer task (TST), which …

Despite recent progress of pre-trained language models on generating fluent text, existing
methods still suffer from incoherence problems in long-form text generation tasks that …

State-of-the-art chatbots for English are now able to hold conversations on virtually any topic
(eg Adiwardana et al., 2020; Roller et al., 2021). However, existing dialogue systems in the …

In this work, we propose TGLS, a novel framework for unsupervised Text Generation by
Learning from Search. We start by applying a strong search algorithm (in particular …

Highly skewed long-tail item distribution commonly hurts model performance on tail items in
recommendation systems, especially for graph-based recommendation models. We propose …

We propose a generative model of paraphrase generation, that encourages syntactic
diversity by conditioning on an explicit syntactic sketch. We introduce Hierarchical …

Paraphrase Generation is one of the most important and challenging tasks in the field of
Natural Language Generation. The paraphrasing techniques help to identify or to …