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Reposted by Daniel Gomm

Madelon Hulsebos @madelonhulsebos.bsky.social · 09/09/2026

In pursuit of democratizing insights from tabular data I’m pleased to share a paper led by @daniel-gomm.bsky.social on where we stand and where we should go in Open Tabular Insight Extraction: the task of serving analytical insight needs over table collections to those unfamiliar with its contents.

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Reposted by Daniel Gomm

Madelon Hulsebos @madelonhulsebos.bsky.social · 22/01/2026

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/

trl-lab.github.io

TRL Seminar | TRL Lab

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Reposted by Daniel Gomm

Madelon Hulsebos @madelonhulsebos.bsky.social · 20/11/2025

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 🤩.

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Reposted by Daniel Gomm

Madelon Hulsebos @madelonhulsebos.bsky.social · 17/11/2025

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

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Reposted by Daniel Gomm

Madelon Hulsebos @madelonhulsebos.bsky.social · 02/04/2025

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/

Details about the seminar talk titled TabICL: A Tabular Foundation Model for In-Context Learning on Large Data by Marine Le Morvan

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Daniel Gomm @daniel-gomm.bsky.social · 05/03/2025

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...

daniel-gomm.github.io

Table Serialization Kitchen - A Recipe for Better LLM Performance on Tabular Data | Daniel Gomm

This blog post explores table serializations and their impact on downstream tasks using the Table Serialization Kitchen.

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