The applications of large language models (LLMs) have expanded well beyond the confines
of text processing, signaling a new era where LLMs are envisioned as generalist language …

ChatGPT has changed the AI community and an active research line is the performance
evaluation of ChatGPT. A key challenge for the evaluation is that ChatGPT is still closed …

Spatial databases play a vital role in a number of applications ranging from geographic
information systems to location-based services. Application tasks typically access underlying …

Background: Competitive programming platforms such as LeetCode, Codeforces, and
HackerRank provide challenges to evaluate programming skills. Technical recruiters …

While fine-tuned large language models (LLMs) excel in generating grammatically valid
SQL in Text-to-SQL parsing, they often struggle to ensure semantic accuracy in queries …

Text-To-SQL (T2S) conversion based on large language models (LLMs) has found a wide
range of applications, by leveraging the capabilities of LLMs in interpreting the query intent …

Mastering SQL is a key data science competence. While most large language models are
able to translate natural language queries to SQL, their ability to tutor learners and …

The Imaging Data Commons (IDC) is a cloud-based database that provides researchers
with open access to cancer imaging data, with the goal of facilitating collaboration. However …

Recently, the concept of prompting has been introduced as a mechanism to provide con-
textual cues to the model, thereby directing its focus towards the downstream task solely …

Despite its importance, accessing information in storage systems or raw data is challenging
or impossible for most people due to the sheer amount and heterogeneity of data as well as …