Recursive Semantic Divergence for LLM Agent Consistency

Harshavardhan Abichandani, Penny Chong, Atin Ghosh, Daniel Dahlmeier

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

Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data

Rishabh Ranjan, Vignesh Kothapalli, Harshvardhan Agarwal, Charilaos Kanatsoulis and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Enhancing Tabular Learners with Context-Aware Semantic Embeddings

CASE contextualizes tabular embeddings via a dataset-anchored Gemma 3 language model to resolve feature semantics, substantially improving tabular learner accuracy especially with scarce data.

Günther Schindler, Maximilian Schambach, Johannes Höhne

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks

FlexTab uses a shared encoder and task-specific decoders for in-context tabular learning, achieving state-of-the-art results on classification, regression, anomaly detection, and entity matching.

Marek Polewczyk, Maximilian Schambach, Marco Spinaci, Sam Thelin and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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

Benchmarking Attention for Tabular Foundation Models

This paper benchmarks 2D tabular attention across GPU backends, finding optimal choices vary by row versus column attention, hardware, and sequence length.

Maximilian Schambach, Clemens Biehl, Sam Thelin

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026