PUTTING TASK EXPERTISE INTO RL ACHIEVES STATE-OF-THE-ART PERFORMANCE ON TEXT-TO-SQL

Summary from the TLDR AI newsletter

Adding scaffolding around text-to-SQL models improves performance somewhat, but this is limited by the base models' capabilities. This suggests that the task knowledge contained in the scaffold belongs in the training signal instead. Expert judgment needs to be part of the training process. Putting task expertise into task-specific training is ultimately what scales.