ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.11163
  4. Cited By
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models
  with Metamorphic Testing

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing

21 December 2020
Pingchuan Ma
Shuai Wang
ArXivPDFHTML

Papers citing "MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing"

2 / 2 papers shown
Title
Towards Robustness of Text-to-SQL Models Against Natural and Realistic
  Adversarial Table Perturbation
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
Xinyu Pi
Bin Wang
Yan Gao
Jiaqi Guo
Zhoujun Li
Jian-Guang Lou
LMTD
30
30
0
20 Dec 2022
Task-Oriented Dialogue as Dataflow Synthesis
Task-Oriented Dialogue as Dataflow Synthesis
Semantic Machines
Jacob Andreas
J. Bufe
David Burkett
Charles C. Chen
...
Izabela Witoszko
Jason Wolfe
A. Wray
Yuchen Zhang
Alexander Zotov
AIFin
195
153
0
24 Sep 2020
1