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Evaluating the Data Model Robustness of Text-to-SQL Systems Based on
  Real User Queries
v1v2 (latest)

Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

13 February 2024
Jonathan Fürst
Catherine Kosten
Farhad Nooralahzadeh
Yi Zhang
Kurt Stockinger
    LMTD
ArXiv (abs)PDFHTML

Papers citing "Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries"

4 / 4 papers shown
Title
Bench360: Benchmarking Local LLM Inference from 360°
Bench360: Benchmarking Local LLM Inference from 360°
Linus Stuhlmann
Mauricio Fadel Argerich
Jonathan Fürst
ELM
101
0
0
12 Nov 2025
Xpose: Bi-directional Engineering for Hidden Query Extraction
Xpose: Bi-directional Engineering for Hidden Query Extraction
Ahana Pradhan
Jayant Haritsa
80
1
0
15 Apr 2025
Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust
  Text-to-SQL
Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQLInternational Conference on Computational Linguistics (COLING), 2024
Geling Liu
Yunzhi Tan
Ruichao Zhong
Yuanzhen Xie
Lingchen Zhao
Qian Wang
Bo Hu
Zang Li
AI4TS
284
12
0
17 Dec 2024
Query Performance Explanation through Large Language Model for HTAP
  Systems
Query Performance Explanation through Large Language Model for HTAP SystemsInternational Conference on Extending Database Technology (EDBT), 2024
Haibo Xiu
Li Zhang
Tieying Zhang
Jun Yang
Jianjun Chen
157
1
0
02 Dec 2024
1