MTSQL-R1 Targets the Short-Horizon Habits That Break Multi-Turn Text-to-SQL
burkov · x · 2026-10-20
Multi-turn Text-to-SQL means converting a user's back-and-forth conversation into runnable database queries that stay consistent with earlier requests and the underlying schema. It matters because conversational data interfaces are increasingly common in business, and a query that fails to run or silently contradicts an earlier instruction can return wrong answers or expose the wrong data.
The article argues most existing systems treat this as one-shot translation: they generate a query per turn without executing it, checking it against the conversation, or fixing mistakes. This short-horizon habit is the main cause of non-executable or incoherent queries across turns.
To address this, it introduces and evaluates MTSQL-R1, a training framework aimed at producing executable, conversation-consistent SQL in multi-turn settings.
More from coding & agent
- REA gains 214K stars in a week, tops GitHub's fastest-growing AI repos — sven_ai · 2026-10-20
- Dev goes 'graph pilled': graphs will anchor every company's world model — _AustinCalvert_ · 2026-10-20
- RuneBench: Benchmarking AI Coding Agents by Playing RuneScape — charliermarsh · 2026-10-20
- A 5-step loop for debugging AI agents in production: trace everything, watch for silent failures — Tracify · 2026-10-20
- New Claude Cookbook: Auto-Review Agent Session Transcripts for Security Issues — brada · 2026-10-20
- Conversational Video Editing: Driving CapCut Web with Codex for Marketing Videos — Div_pradeep · 2026-10-20