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HarnessSQL: Harness-Native Training for SQL Agents in Realistic Database Environments

Paper recorded by Signals 4 on 2026-10-08 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.CL · 自然语言处理 · first seen 2026-10-09

Abstract

Text-to-SQL models are commonly trained to map questions directly to static queries, whereas real-world database agents operate through stateful, multi-turn interaction with live databases -- inspecting schemas, executing probe queries, diagnosing errors, and revising hypotheses. This creates a critical train-deploy mismatch, as the execution harness that mediates this interaction is introduced on

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#291 most recent of 660 cs.CL papers we have recorded · ↑ newer: Verdict Without the Rule: Diagnosing and Auditing Regulatory Rule Sens · ↓ older: EgoVoice: Proactive Spoken Assistance from Egocentric Multimodal Strea
Cite this page: HarnessSQL: Harness-Native Training for SQL Agents in Realistic Database Environments: the #291 most recent of 660 cs.CL papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/harnesssql-harness-native-training-for-sql-agents-in-realistic-database-environm.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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