SQL-to-Text Generation with Weighted-AST Few-Shot Prompting

Sriom Chakrabarti; Chuangtao Ma; Arijit Khan; Sebastian Link

doi:10.1007/978-981-95-6196-4_26

SQL-to-Text Generation with Weighted-AST Few-Shot Prompting

Sriom Chakrabarti
, Chuangtao Ma
, Arijit Khan
, Sebastian Link

Bowling Green State University

Aalborg University
University of Auckland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings
Editors	Renata Borovica-Gajic, Junhao Gan, Arijit Khan, Bolong Zheng, Xiaoyang Wang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	365-379
Number of pages	15
ISBN (Print)	9789819561957
DOIs	https://doi.org/10.1007/978-981-95-6196-4_26
State	Published - 2026
Event	36th Australasian Database Conference, ADC 2025 - Sydney, Australia Duration: Dec 4 2025 → Dec 7 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	16391 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	36th Australasian Database Conference, ADC 2025
Country/Territory	Australia
City	Sydney
Period	12/4/25 → 12/7/25

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Human Evaluation
Semantic Captioning
SQL-to-Text

Access to Document

10.1007/978-981-95-6196-4_26

Cite this

Chakrabarti, S., Ma, C., Khan, A., & Link, S. (2026). SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. In R. Borovica-Gajic, J. Gan, A. Khan, B. Zheng, & X. Wang (Eds.), Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings (pp. 365-379). (Lecture Notes in Computer Science; Vol. 16391 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-95-6196-4_26

SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. / Chakrabarti, Sriom; Ma, Chuangtao; Khan, Arijit et al.
Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings. ed. / Renata Borovica-Gajic; Junhao Gan; Arijit Khan; Bolong Zheng; Xiaoyang Wang. Springer Science and Business Media Deutschland GmbH, 2026. p. 365-379 (Lecture Notes in Computer Science; Vol. 16391 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chakrabarti, S, Ma, C, Khan, A & Link, S 2026, SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. in R Borovica-Gajic, J Gan, A Khan, B Zheng & X Wang (eds), Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings. Lecture Notes in Computer Science, vol. 16391 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 365-379, 36th Australasian Database Conference, ADC 2025, Sydney, Australia, 12/4/25. https://doi.org/10.1007/978-981-95-6196-4_26

Chakrabarti S, Ma C, Khan A, Link S. SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. In Borovica-Gajic R, Gan J, Khan A, Zheng B, Wang X, editors, Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings. Springer Science and Business Media Deutschland GmbH. 2026. p. 365-379. (Lecture Notes in Computer Science). doi: 10.1007/978-981-95-6196-4_26

Chakrabarti, Sriom ; Ma, Chuangtao ; Khan, Arijit et al. / SQL-to-Text Generation with Weighted-AST Few-Shot Prompting. Databases Theory and Applications - 36th Australasian Database Conference, ADC 2025, Proceedings. editor / Renata Borovica-Gajic ; Junhao Gan ; Arijit Khan ; Bolong Zheng ; Xiaoyang Wang. Springer Science and Business Media Deutschland GmbH, 2026. pp. 365-379 (Lecture Notes in Computer Science).

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