This work introduces ExpeSQL, a zero-shot, open-source–compatible, and efficient framework that combines divide-and-conquer reasoning, Best-of-N candidate selection, and self-critique with experience-guided refinement that establishes a new paradigm for deployable, self-improving Text-to-SQL systems in dynamic, real-world environments.
SafeQL is proposed, a search-based refinement paradigm that redefines the role of the DBMS as an active guide in the refinement process, and significantly improves execution accuracy and efficiency compared to regeneration-based methods.
Geonho Lee, Min-Soo Kim· Proceedings of the VLDB Endo...· 0 citations
This work presents a training-free framework that formulates SQL correction as a plan-guided, tree-structured debugging process that mitigates error accumulation during iterative refinement and demonstrates the effectiveness and stability of the approach in real-world deployments.
Xinmei Huang, Jie Song, Peng Li et al.· 0 citations
A Python harness mirroring the autonomy axis is released so that future methods can be added directly to the leaderboard, and four patterns emerge: Spider gains transfer unevenly to BIRD and Spider~2.0; autonomy buys robustness at non-trivial cost; reasoning internalization sits between answer-only decoding and externa...
Changruo Zhao, Zujun Peng, Yu Tian et al.· International Conference on...· 1 citation
A simple yet effective zero-shot ReAct-style framework built solely on iterative reasoning and a constrained action space defined by a typed Domain-Specific Language (DSL) of 15 relational operations, rather than free-form SQL generation.
Jian Lu, Haiwei Yu, Raymond M. Xiong et al.· 0 citations
guided table retrieval is presented, a four-phase pipeline that combines deterministic grounding via hash-based predictors, structural exploration of join-graph reachability, LLM-powered disambiguation of sources and targets, and algorithmic merging into minimal, topologically ordered join trees.
Alekh Jindal, J. Pandey, C. Pavlopoulou et al.· 0 citations
In this ablation, retrieved knowledge-base context provides the largest marginal improvement when added to the full oracle graph, and a distillation procedure that turns historical query profiles into reusable SQL reference cards is optimized.
Kate Gwimm, Carson Eisenach· 0 citations
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