Author

Carsten Binnig

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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

Expanding the Physical Design Space of LLM Data Systems

It is argued that LLM-native data systems should expose selected inference-time mechanisms to the optimizer as physical design choices and advocate constructing Pareto frontiers of candidate implementations and exposing only non-dominated choices to the optimizer.

Gabriele Sanmartino, Matthias Urban, Carsten Binnig et al. · 0 citations