#database-ai News & Analysis

2 articles tagged with #database-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Mar 56/10

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Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Researchers introduce RDB-PFN, the first relational foundation model for databases trained entirely on synthetic data to overcome privacy and scarcity issues with real relational databases. The model uses a Relational Prior Generator to create over 2 million synthetic tasks and demonstrates strong few-shot performance on 19 real-world relational prediction tasks through in-context learning.

AINeutralarXiv – CS AI · May 296/10

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EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL

EviLink is a new AI framework that improves Text-to-SQL systems by treating schema linking as an uncertainty-aware process across multiple SQL paths rather than a single deterministic selection. The approach balances schema completeness, relevance, and computational cost, achieving 90.15% field-level recall on Spider2-Snow while using fewer tokens than existing methods.