1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
RingSQL: Schema-Independent Synthetic Data Generation for Text-to-SQL Reinforcement Learning
Marko Sterbentz, Kevin Cushing, Cameron Barrie +1
Recent advances in text-to-SQL have been driven by larger models, better datasets, and new training methods like RLVR. However, progress remains limited by scarce high-quality trai…
cs.CL2024★ 1 cited
Satyrn: A Platform for Analytics Augmented Generation
Marko Sterbentz, Cameron Barrie, Shubham Shahi +4
Large language models (LLMs) are capable of producing documents, and retrieval augmented generation (RAG) has shown itself to be a powerful method for improving accuracy without sa…