Due to the significance and value in human-computer interaction and natural language
processing, task-oriented dialog systems are attracting more and more attention in both …

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 …

To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …

As practitioners increasingly deploy machine learning models in critical domains such as
health care, finance, and policy, it becomes vital to ensure that domain experts function …

Code LLMs have emerged as a specialized research field, with remarkable studies
dedicated to enhancing model's coding capabilities through fine-tuning on pre-trained …

Supporting the translation from natural language (NL) query to visualization (NL2VIS) can
simplify the creation of data visualizations because if successful, anyone can generate …

Translating users' natural language queries (NL) into SQL queries (ie, NL2SQL) can
significantly reduce barriers to accessing relational databases and support various …

Continual table semantic parsing aims to train a parser on a sequence of tasks, where each
task requires the parser to translate natural language into SQL based on task-specific tables …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

We describe an approach to task-oriented dialogue in which dialogue state is represented
as a dataflow graph. A dialogue agent maps each user utterance to a program that extends …