cs.DB · 2026-06-11 · No. 20

Databases, 2026-06-11.

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

    TAHOE: Text-to-SQL with Automated Hint Optimization from Experience

    Zhiyi Chen, Jie Song, Peng Li

    cs.DB · cs.AI

    Large Language Models (LLMs) have democratized database access through Text-to-SQL, but moving from prototypes to production remains difficult. Real deployments must handle strict SQL dialects, massive schemas, and evolving user preferences, while supervised fine-tuning is costly and rigid and agentic test-time scaling is expensive. We present Tahoe, a system that treats prompt optimization as a dynamic data management problem. Tahoe uses an...

    arxiv.org/abs/2606.12387 · PDF

  2. 02

    Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data

    Arie Soeteman, Balder ten Cate, Maurice Funk, Benny Kimelfeld, Carsten Lutz, Moritz Schönherr

    cs.DB · cs.CC · cs.LG · cs.LO

    The conventional approach to deep learning over relational databases applies neural models, such as Graph Neural Networks (GNNs), to a graph representation of the database. Recent approaches instead operate on databases directly, associating tuples with embeddings and extending query mechanisms to jointly process embeddings and relational content. Inspired by these developments, we introduce Neuro-Relational Programs (NRPs), a declarative...

    arxiv.org/abs/2606.11946 · PDF

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