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On Linearizing Structured Data in Encoder-Decoder Language Models:
  Insights from Text-to-SQL

On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL

3 April 2024
Yutong Shao
N. Nakashole
ArXivPDFHTML

Papers citing "On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL"

5 / 5 papers shown
Title
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
S. Huang
Hanqian Li
Yanggan Gu
Xuming Hu
Qing Li
Guandong Xu
63
1
0
25 Feb 2025
Natural SQL: Making SQL Easier to Infer from Natural Language
  Specifications
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
Yujian Gan
Xinyun Chen
Jinxia Xie
Matthew Purver
J. Woodward
J. Drake
Qiaofu Zhang
76
91
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
146
374
0
10 Sep 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
224
404
0
24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
882
0
03 May 2018
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