Spider 2.0
PulseAugur coverage of Spider 2.0 — every cluster mentioning Spider 2.0 across labs, papers, and developer communities, ranked by signal.
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New DBCC method compresses database context for improved Text-to-SQL
Researchers have developed a novel approach called Database Context Compression (DBCC) to improve Text-to-SQL performance on large, real-world databases. This method addresses the bottleneck of database representation b…
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LLMs struggle with complex SQL, posing production risks
Recent benchmarks reveal a significant decline in the accuracy of large language models (LLMs) when generating SQL queries for complex, real-world enterprise scenarios. While models like GPT-4o perform well on older, si…
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Postgres adoption surges, but AI agent integration poses security risks
PostgreSQL has become the most widely adopted database, with over 55% of developers using it, according to the Stack Overflow Developer Survey 2025. This surge in popularity makes it a prime target for integration with …
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Text-to-SQL Accuracy Collapses on Real-World Data
While text-to-SQL demonstrations appear to be solved, their accuracy plummets when applied to real-world enterprise databases. This significant drop is not due to the language model's intelligence but rather challenges …
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New EntSQL benchmark tests Text-to-SQL in enterprise knowledge
Researchers have introduced EntSQL, a new benchmark designed to evaluate Text-to-SQL capabilities in enterprise settings. Unlike previous benchmarks, EntSQL focuses on grounding SQL generation in long-context, proprieta…