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. 2109.05395
  4. Cited By
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning

12 September 2021
Yongrui Chen
Xinnan Guo
Chaojie Wang
Jian Qiu
Guilin Qi
Meng Wang
Huiying Li
    LMTD
    VLM
ArXivPDFHTML

Papers citing "Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning"

3 / 3 papers shown
Title
Parameterizing Context: Unleashing the Power of Parameter-Efficient
  Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Yongrui Chen
Shenyu Zhang
Guilin Qi
Xinnan Guo
CLL
13
7
0
07 Oct 2023
Learn from Yesterday: A Semi-Supervised Continual Learning Method for
  Supervision-Limited Text-to-SQL Task Streams
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
Yongrui Chen
Xinnan Guo
Tongtong Wu
Guilin Qi
Y. Li
Yang Dong
CLL
AI4TS
16
7
0
21 Nov 2022
Recent Advances in Text-to-SQL: A Survey of What We Have and What We
  Expect
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
Naihao Deng
Yulong Chen
Yue Zhang
19
44
0
22 Aug 2022
1