Abstract: This paper surveys NL2SQL research by defining its core tasks-natural language understanding, schema linking, SQL generation, and verification-while ...

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

You’re at the checkout screen after an online shopping spree, ready to enter your credit card number. You type it in and instantly see a red error message ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

During my time working with tech companies navigating the early boom of AI adoption, I noticed a strange duality. Developers proudly open-sourced breakthrough models one week—and raced to patent their ...

Abstract: Currently, the research field of Natural Language Generated SQL (NL2SQL) mainly focuses on generic datasets, aiming to build models that can parse natural language queries and automatically ...

NL2SQL360 is a testbed for fine-grained evaluation of NL2SQL solutions. Our testbed integrates existing NL2SQL benchmarks, a repository of NL2SQL models, and various evaluation metrics, which aims to ...

Natural Language to SQL (NL2SQL) technology has emerged as a transformative aspect of natural language processing (NLP), enabling users to convert human language queries into Structured Query Language ...