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. 2206.04045
  4. Cited By
STable: Table Generation Framework for Encoder-Decoder Models

STable: Table Generation Framework for Encoder-Decoder Models

8 June 2022
Michal Pietruszka
M. Turski
Łukasz Borchmann
Tomasz Dwojak
Gabriela Pałka
Karolina Szyndler
Dawid Jurkiewicz
Lukasz Garncarek
    LMTD
ArXivPDFHTML

Papers citing "STable: Table Generation Framework for Encoder-Decoder Models"

5 / 5 papers shown
Title
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large
  Language Models
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models
Haoxiang Shi
Jiaan Wang
Jiarong Xu
Cen Wang
Tetsuya Sakai
LMTD
26
0
0
20 May 2024
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
iTBLS: A Dataset of Interactive Conversations Over Tabular Information
Anirudh S. Sundar
Christopher Richardson
William Gay
Larry Heck
LMTD
41
1
0
19 Apr 2024
Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables
Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables
Matthias Urban
Carsten Binnig
28
5
0
26 Apr 2023
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document
  Understanding
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Yang Xu
Yiheng Xu
Tengchao Lv
Lei Cui
Furu Wei
...
D. Florêncio
Cha Zhang
Wanxiang Che
Min Zhang
Lidong Zhou
ViT
MLLM
145
498
0
29 Dec 2020
From Dataset Recycling to Multi-Property Extraction and Beyond
From Dataset Recycling to Multi-Property Extraction and Beyond
Tomasz Dwojak
Michal Pietruszka
Łukasz Borchmann
Jakub Chlkedowski
Filip Graliñski
42
5
0
06 Nov 2020
1