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. 2211.06193
  4. Cited By
DocuT5: Seq2seq SQL Generation with Table Documentation

DocuT5: Seq2seq SQL Generation with Table Documentation

11 November 2022
E. Soare
Iain Mackie
Jeffrey Stephen Dalton
    LMTD
ArXivPDFHTML

Papers citing "DocuT5: Seq2seq SQL Generation with Table Documentation"

5 / 5 papers shown
Title
MeMemo: On-device Retrieval Augmentation for Private and Personalized
  Text Generation
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
Zijie J. Wang
Duen Horng Chau
43
4
0
02 Jul 2024
Proton: Probing Schema Linking Information from Pre-trained Language
  Models for Text-to-SQL Parsing
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
Lihan Wang
Bowen Qin
Binyuan Hui
Bowen Li
Min Yang
Bailin Wang
Binhua Li
Fei Huang
Luo Si
Yongbin Li
71
40
0
28 Jun 2022
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL
  Generalization
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
Yujian Gan
Xinyun Chen
Matthew Purver
74
78
0
11 Sep 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding
  from Language Models
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak
Nathan Schucher
Dzmitry Bahdanau
154
374
0
10 Sep 2021
1