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Q-value guided Text-to-SQL generation: Structured reasoning meets efficient inference exploration

delete2026-01-15
delete0
PRE
AI
M
Min Tang
L
Lixin Zou
S
Shujie Cui
W
Weiqing Wang
Z
Zhe Jin
李
李晨亮 (Chenliang Li)
S
Shiuan-Ni Liang
DOI：10.1016/j.ipm.2025.104607delete
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摘要

摘要

En 中文
• 一种逐步链式思维分解生成方法，模拟人类逐步推理，显著提高SQL准确性。 • 一种带有共识过滤增强的MCTS框架，能够在Q值训练期间抑制误导性中间输出。 • 一种内存高效的Q值网络，能够与LLM解码无缝集成，实现快速推理且不牺牲性能。

期刊

I
INFORMATION PROCESSING & MANAGEMENT
IF:
6.9
论文数:
576
被引数:
0

机构

M
monash university
学者数:
9.1K
论文数: 4.1K
被引数: 0
A
anhui university
学者数:
1.9W
论文数: 1.2W
被引数: 24
W
wuhan university
学者数:
8.1W
论文数: 5.8W
被引数: 70
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