Text-to-SQL for Korean Language based on Multilingual BERT
PulseAugur coverage of Text-to-SQL for Korean Language based on Multilingual BERT — every cluster mentioning Text-to-SQL for Korean Language based on Multilingual BERT across labs, papers, and developer communities, ranked by signal.
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New framework tackles post-selection bias in model evaluation
Researchers have developed a new framework called Post-Selection Distributional Model Evaluation (PS-DME) to address challenges in assessing machine learning models when the target performance metrics are not known befo…
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Michael Stonebraker finds Text-to-SQL accuracy at 10% on real enterprise data
Michael Stonebraker, a Turing Award winner, evaluated text-to-SQL capabilities on a real enterprise data warehouse. His findings revealed a low accuracy rate of only 10%, significantly underperforming against an 80% ben…
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New frameworks enhance Text-to-SQL models with flexible interaction and fine-grained feedback
Researchers have developed several new frameworks to improve Text-to-SQL generation, particularly for smaller language models and complex database interactions. FineStep and FINER-SQL introduce novel reinforcement learn…