Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

We can compute the value of each holding at that point in time by finding the most recent price before the holding’s timestamp by using an ASOF join.

Recent advances in machine learning have significantly impacted the field of information extraction, with Language Models (LMs) playing a pivotal role in extracting structured information from ...

Structured Query Language (SQL) is a powerful tool in the hands of data analysts. It's not just about basic data analysis tasks; it also enables us to transform and manipulate large amounts of data ...

I am a full stack Node and React developer.I have a keen interest in building dApps(major focused on DeFi). I am a full stack Node and React developer.I have a keen interest in building dApps(major ...

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

This paper presents Structure Aware Dense Retrieval (SANTA) model, which encodes user queries and structured data in one universal embedding space for retrieving structured data. SANTA proposes two ...