Controlled text perturbation is useful for evaluating and improving model generalizability.
However, current techniques rely on training a model for every target perturbation, which is …

Pre-trained language models (PLMs) have achieved remarkable success in natural
language generation (NLG) tasks. Up to now, most NLG-oriented PLMs are pre-trained in an …

In this paper we revisit automatic metrics for paraphrase evaluation and obtain two findings
that disobey conventional wisdom:(1) Reference-free metrics achieve better performance …

Recent advancements in Large Language Models empower them to follow freeform
instructions, including imitating generic or specific demographic personas in conversations …

Backdoor attacks have become an emerging threat to NLP systems. By providing poisoned
training data, the adversary can embed a" backdoor" into the victim model, which allows …

Controllable paraphrase generation (CPG) incorporates various external conditions to
obtain desirable paraphrases. However, existing works only highlight a special condition …

Current approaches in paraphrase generation and detection heavily rely on a single general
similarity score, ignoring the intricate linguistic properties of language. This paper introduces …

To facilitate research on text generation, this paper presents a comprehensive and unified
library, TextBox 2.0, focusing on the use of pre-trained language models (PLMs). To be …

A hyperbole is an intentional and creative exaggeration not to be taken literally. Despite its
ubiquity in daily life, the computational explorations of hyperboles are scarce. In this paper …

Text style transfer and paraphrasing of texts are actively growing areas of NLP, dozens of
methods for solving these tasks have been recently introduced. In both tasks, the system is …