GitHub

OmniSQL - Synthesizing High-quality Text-to-SQL Data at Scale

We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below: Building on SynSQL-2.5M, we introduce OmniSQL, a family of powerful text-to-SQL models available in three ...
marktechpost

Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...
IEEE

Converting Human Text into Database Queries Using Natural Language Processing: A Hybrid Approach with Multinomial Logistic Regression and T5

Abstract: This research introduces a novel system for converting natural language text into structured SQL queries using a hybrid [22] [23] Natural Language Processing (NLP) framework. The system ...