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ReViSQL-K2.6 Beats Human Accuracy on SQL Benchmark Without Agentic Scaffolding

A UIUC and Bridgewater team fine-tuned Kimi-K2.6 on Tinker to become the first text-to-SQL model to beat human accuracy.

ReViSQL-K2.6 Beats Human Accuracy on SQL Benchmark Without Agentic Scaffolding
Source
Tinker
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AlphaSignal Newsroom
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1 min read

A UIUC and Bridgewater team fine-tuned Kimi-K2.6 on Tinker to become the first text-to-SQL model to beat human accuracy.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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