PTab: Using the Pre-trained Language Model for Modeling Tabular Data

15 September 2022

Papers citing "PTab: Using the Pre-trained Language Model for Modeling Tabular Data"

7 / 7 papers shown

Title
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting Gyanendra Shrestha Chutain Jiang Sai Akula Vivek Yannam Anna Pyayt Michael Gubanov LMTD 77 0 0 20 Feb 2025
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin Rongjie Shan Chenxu Zhu Kounianhua Du Bo Chen Shigang Quan Ruiming Tang Yong Yu Weinan Zhang LRM 13 79 0 22 Aug 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang Yuqi Wang Guangyi Liu Ledell Yu Wu Qi Liu LMTD 12 15 0 18 Jul 2023
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models Qijiong Liu Nuo Chen Tetsuya Sakai Xiao-Ming Wu 13 50 0 11 May 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 14 4 0 27 Mar 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 380 4,010 0 28 Jan 2022
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 138 412 0 11 Dec 2020