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Showing papers from ELLIS Institute Tübingen & University of Freiburg Show all papers

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When is Warmstarting Effective for Scaling Language Models?

Neeratyoy Mallik, Maciej Janowski, Johannes Hog, Herilalaina Rakotoarison and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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78%Highly rated
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Understanding the Surprising Generalization Properties of Tabular Foundation Models

Self-supervised pre-training on one real table yields strong tabular transfer, where feature count predicts usefulness and in-context generalization is retrieval-based.

Nour Shaheen, Junwei (Jeremy) Ma, Alex Labach, Frank Hutter and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
88%Must read
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STRABLE: Benchmarking Tabular Machine Learning with Strings

STRABLE introduces 108 real-world string-and-number tables and benchmarks 445 pipelines, finding simple embeddings with advanced learners suffice for categorical tables while LLMs help on free-text tables.

Gioia Blayer, Myung Jun Kim, Félix Lefebvre, Lennart Purucker and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5