RPT: Relational Pre-trained Transformer Is Almost All You Need towards
Democratizing Data Preparation

RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation

4 December 2020

Jianhong Tu

Papers citing "RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation"

9 / 9 papers shown

Title
GTR: Graph-Table-RAG for Cross-Table Question Answering Jiaru Zou Dongqi Fu Sirui Chen Xinrui He Zihao Li Yada Zhu Jiawei Han Jingrui He LMTD 59 0 0 02 Apr 2025
Table Transformers for Imputing Textual Attributes Ting-Ruen Wei Yuan Wang Yoshitaka Inoue Hsin-Tai Wu Yi Fang LMTD 45 0 0 04 Aug 2024
VerifAI: Verified Generative AI Nan Tang Chenyu Yang Ju Fan Lei Cao Yuyu Luo Alon Halevy 23 15 0 06 Jul 2023
DeepJoin: Joinable Table Discovery with Pre-trained Language Models Yuyang Dong Chuan Xiao Takuma Nozawa Masafumi Enomoto Masafumi Oyamada 27 18 0 15 Dec 2022
CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex Immanuel Trummer LMTD 29 19 0 19 Apr 2022
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks Haoyu Dong Zhoujun Cheng Xinyi He Mengyuan Zhou Anda Zhou Fan Zhou Ao Liu Shi Han Dongmei Zhang LMTD 65 64 0 24 Jan 2022
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining Zhoujun Cheng Haoyu Dong Ran Jia Pengfei Wu Shi Han Fan Cheng Dongmei Zhang AIMat ReLM LMTD LRM 31 27 0 15 Sep 2021
Can Deep Neural Networks Predict Data Correlations from Column Names? Immanuel Trummer 22 8 0 09 Jul 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,591 0 21 Jan 2020