As Large Language Models (LLMs) advance in natural language processing, there is
growing interest in leveraging their capabilities to simplify software interactions. In this …

The dominant paradigm of textual question answering systems is based on end-to-end
neural networks, which excels at answering natural language questions but falls short on …

This survey focuses on Text-to-SQL, automated translation of natural language queries into
SQL queries. Initially, we describe the problem and its main challenges. Then, by following …

Real world questions are generally complex and need the user to extract information from
multiple tables in a database using complex SQL queries like nested queries. Though the …

Enterprise searches require users to have complex knowledge of queries, configurations,
and metadata, rendering it difficult for them to access information as needed. Most go-to …

__________________________________… lockchain is a distributed ledger in which
transactions are grouped in blocks linked by hash pointers. Blockchain-based solutions …

Large Language Models (LLMs) can automate or substitute different types of tasks in the
software engineering process. This study evaluates the resource utilization and accuracy of …

SQL injection attacks are among the most prominent threats against Web application
security, intended to illegitimately access sensitive information by exploiting related …

Recently, large language models (LLMs) have significantly improved the performance of text-
to-SQL systems. Nevertheless, many state-of-the-art (SOTA) approaches have overlooked …

The knowledge of courses can be represented by using ontology to create intelligent
educational systems. This study proposes the Onto-Linking model as a knowledge …