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New benchmark and agentic architecture tackle complex NL-to-SQL challenges

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced a new benchmark, DevRev NL2SQL, designed to evaluate natural-language-to-SQL systems on complex, nested enterprise schemas. This benchmark includes 900 execution-verified queries and a new metric called Semantic Depth Score (SDS) to measure analytical reasoning depth. Alongside the benchmark, they presented a cost-aware agentic architecture that achieves 91.7% answer correctness on DevRev NL2SQL, significantly outperforming existing baselines, and remains competitive on the Spider 2.0 Snowflake dataset. AI

IMPACT This work advances the state-of-the-art in NL-to-SQL systems, potentially improving how enterprises interact with complex databases.

RANK_REASON The cluster describes a new academic paper introducing a novel benchmark and an associated system for natural language to SQL translation.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New benchmark and agentic architecture tackle complex NL-to-SQL challenges

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The cluster describes a new academic paper introducing a novel benchmark and an associated system for natural language to SQL translation.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yoga Sri Varshan Varadharajan, Ajay Yadav, Ritesh Goru, Prateek Chaudhury, Constantine Caramanis, Prateek Jain, Divyateja Pasupuleti, Sunil Kumar Pandey ·

    A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark

    arXiv:2609.04641v1 Announce Type: new Abstract: Natural-language-to-SQL systems have ad- vanced rapidly on academic benchmarks, yet production enterprise schemas exhibit graph- like, semi-structured, deeply nested structure that current benchmarks do not measure. We make two comp…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark

    Natural-language-to-SQL systems have ad- vanced rapidly on academic benchmarks, yet production enterprise schemas exhibit graph- like, semi-structured, deeply nested structure that current benchmarks do not measure. We make two complementary contributions. First, we introduce the…

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