Abstract Knowledge-driven conversation approaches have achieved remarkable research
attention recently. However, generating an informative response with multiple relevant …

Text-to-SQL is the task that aims at translating natural language questions into SQL queries.
Existing methods directly align the natural language with SQL Language and train one …

Contrastive learning has achieved impressive success in generation tasks to militate the "exposure
bias" problem and discriminatively exploit the different quality of references. Existing …

Knowledge graph (KG) embedding methods which map entities and relations to unique
embeddings in the KG have shown promising results on many reasoning tasks. However, the …

The most notable neural data-to-text approaches generate natural language from structural
data relying on the surface form of the structural content, which ignores the underlying logical …

The title generation task that summarizes article content in recapitulatory words relies heavily
on utilizing the corresponding key context. To generate a title with appropriate information …

Recent research has investigated the use of generative language models to produce regular
expressions with semantic-based approaches. However, these approaches have shown …

In underwater images, the significant sources of distortion are light attenuation and scattering.
Existing underwater image restoration technologies cannot deal with the poor contrast and …

Because colorectal cancer (CRC) stem-like cells (CCS-like cells) contribute to poor patient
prognosis, these cells are a potential target for CRC therapy. However, the mechanism …

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the etiological agent
responsible for the global COVID-19 (coronavirus disease 2019) outbreak. The main protease of …