When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

The app lets a user connect a local SQLite database or upload CSV files, ask a plain-English question, and receive a table of results. The LLM only receives schema metadata, not raw database rows. The ...

Spider is a large human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task (natural language interfaces for relational databases). It is released along with our EMNLP ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...

Join us for an exclusive FREE workshop hosted by the Touro University Graduate School of Technology: “What We Learned Building LLM‑Powered Text‑to‑SQL". This session explores why text‑to‑SQL remains a ...

Abstract: Complex Text-to-SQL generation remains challenging due to the lack of explicit modeling of hierarchical schema structures and persistent semantic mismatches between natural-language queries ...

"They embraced every aspect of their life and every moment," Cristina's mom Cathy tells PEOPLE Natasha Dye is a Writer-Reporter for PEOPLE covering sports. Her work has also appeared in The New York ...

Abstract: Current Text-to-SQL methods are evaluated and only focused on executable queries overlooking the semantic alignment challenge both in terms of the semantic meaning of the query and the ...

Your agile data analysis platform to help you manage ad hoc requests and deliver strategic insights. Your agile data analysis platform to help you manage ad hoc requests and deliver strategic insights ...