Jul 2026
TEmBed-T: A Multi-Dimensional Benchmark for Table-Level Embeddings
A systematic evaluation of table-level embeddings is introduced that captures several complementary properties required for downstream effectiveness, demonstrating that table-level embedding quality cannot be reduced to retrieval alone.
Ayeen Poostforoushan, Liane Vogel, Carsten Binnig
· arXiv.org · 1 citation