According to numerous reports, ChatGPT represents a significant breakthrough in the field of
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …

Text-to-SQL parsing is an essential and challenging task. The goal of text-to-SQL parsing is
to convert a natural language (NL) question to its corresponding structured query language …

Abstract We introduce Directional Stimulus Prompting, a novel framework for guiding black-
box large language models (LLMs) towards specific desired outputs. Instead of directly …

Pre-trained language models have been recently shown to benefit task-oriented dialogue
(TOD) systems. Despite their success, existing methods often formulate this task as a …

Recently, pre-training methods have shown remarkable success in task-oriented dialog
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …

Zero-Shot Object Navigation (ZSON) enables agents to navigate towards open-vocabulary
objects in unknown environments. The existing works of ZSON mainly focus on following …

Task-oriented dialogue (TOD) models have made significant progress in recent years.
However, previous studies primarily focus on datasets written by annotators, which has …

Converting natural language text into executable SQL queries significantly impacts the
healthcare domain, specifically when applied to electronic medical records. Given that …

The importance of building text-to-SQL parsers which can be applied to new databases has
long been acknowledged, and a critical step to achieve this goal is schema linking, ie …

Pre-training methods with contrastive learning objectives have shown remarkable success
in dialog understanding tasks. However, current contrastive learning solely considers the …