cs.DB · 2026-07-28 · No. 67

Databases, 2026-07-28.

2 new papers in cs.DB. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Beyond Scale and Generation: Understanding Language Model-based Entity Matching

    Zeyu Zhang, Xue Li, Iacer Calixto, Paul Groth, Sebastian Schelter

    cs.DB · cs.CL · cs.LG

    Entity matching identifies records that refer to the same real-world entity. Language models can be adapted to this task through bi-encoder, cross-encoder, and generative matcher architectures. However, prior studies often conflate matcher architecture with differences in model backbone, model variant(reflecting different pretraining objectives), and model size, making it difficult to isolate the sources of performance gains. We address this...

    arxiv.org/abs/2607.24688 · PDF

  2. 02

    TEmBed-T: A Multi-Dimensional Benchmark for Table-Level Embeddings

    Ayeen Poostforoushan, Liane Vogel, Carsten Binnig

    cs.DB · cs.LG

    Tabular data is the dominant structured-data modality, and learning table representations has become a core research direction. Table-level embeddings in particular underpin a wide range of applications, including table retrieval, data lake discovery, and table classification. Despite their importance, there is still limited understanding of how different embedding approaches behave across tasks, making systematic evaluation and analysis...

    arxiv.org/abs/2607.24130 · PDF

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