Excited to introducd the SQaLe dataset for text-to-SQL training/tuning at scale. SQaLe is the first large-scale text-to-SQL dataset grounded in real schemas and covers a broad range of realistic queries (eg # joins, operations).

SQaLe provides 517K high-quality question/schema/query triples 🤩.

Excited to be at ACL! Join us at the Table Representation Learning workshop tomorrow in room 2.15 to talk about tables and AI.

We also present a paper showing the sensitivity of LLMs in tabular reasoning to e.g. missing vals and duplicates, by @cowolff.bsky.social at 16:50: arxiv.org/abs/2505.07453

Headed to Vienna for ACL and the 4th Tabular Representation Learning Workshop! 🇦🇹
Super excited to be presenting my first PhD paper there 📄 (1/4)

"Can LLMs really reason over tabular data, really?"
That’s the title and central question of my first paper in my new role as a PhD student, which has been accepted to the 4th Table Representation Learning Workshop @ ACL 2025! arxiv.org/pdf/2505.07453

🧵Here’s what we found:

Eager to contribute to democratizing insights from tabular data? We have 2 new PhD openings! ✨

1) Fundamental Techniques in Table Representation Learning
2) Reliable AI-powered Tabular Data Analysis Systems

⏰ Apply by: 30 June 2025
📅 Start: Fall/Winter 2025
🔗 Info: trl-lab.github.io/open-positions

Excited to share the new monthly Table Representation Learning (TRL) Seminar under the ELLIS Amsterdam TRL research theme! To recur every 2nd Friday.

Who: Marine Le Morvan, Inria (in-person)
When: Friday 11 April 4-5pm (+drinks)
Where: L3.36 Lab42 Science Park / Zoom

trl-lab.github.io/trl-seminar/