Join the TRL Seminar tomorrow for talks on query ambiguity in open-domain data analysis @daniel-gomm.bsky.social, the SQaLE dataset for training text-to-SQL models @cowolff.bsky.social, and pattern/rule inference from tabular data @erkankarabulut.bsky.social. Info: trl-lab.github.io/trl-seminar/

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 🤩.

Are We Asking the Right Questions? With @daniel-gomm.bsky.social and @cowolff.bsky.social we wrote a reflection on ambiguity in natural language queries for tabular data analysis: What queries should we expect, facilitate? On what should tabular data analysis systems be evaluated, and how? See thrd

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/

How can we make LLMs understand tabular data better? My latest blog post compares table serialization techniques using the Table Serialization Kitchen, showing large gaps between approaches in table retrieval settings. daniel-gomm.github.io/blog/2025/Ta...