Our new paper "Magneto: Combining Small and Large Language Models for Schema Matching" has just been published in the new issue of #PVLDB! The paper introduces a new framework that combines both small and large language models for effective schema matching. www.vldb.org/pvldb/vol18/...

📢 Tomorrow, I'll be presenting our new paper on LLM-based agents for interactive data integration at the #SIGMOD2025 NOVAS workshop. I'll also be in Berlin for the whole week, so please reach out if you'd like to chat or hang out! Paper: arxiv.org/abs/2502.07132

Transformer-based neural networks achieve impressive performance on coding, math & reasoning tasks that require keeping track of variables and their values. But how can they do that without explicit memory? 📄 Our new ICML paper investigates this in a synthetic setting! 🎥 youtu.be/Ux8iNcXNEhw 🧵 1/13

The Data Management for End-to-End Machine Learning workshop (@deem-workshop.bsky.social) will be back at #SIGMOD2025! ✨ 🔗 Check out the CfP: deem-workshop.github.io 📝 Submission deadline: March 21 📢 Notifications: April 25 Join us for the 9th edition in Berlin! #DEEM2025

Slides for "Table Foundation Models" I explain why these models can strongly outperform tree-based models, what are the intuitions, hopefully pointing to ways forward for more improvement speakerdeck.com/gaelvaroquau...

@madelonhulsebos.bsky.social kicking off the 3rd Table Representation Learning workshop (@trl-research.bsky.social) at NeurIPS 2024. First keynote by @gaelvaroquaux.bsky.social.