TABLET: Learning From Instructions For Tabular Data

TABLET: Learning From Instructions For Tabular Data

25 April 2023

Papers citing "TABLET: Learning From Instructions For Tabular Data"

17 / 17 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 63 0 0 09 May 2025
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning Ruxue Shi Hengrui Gu Hangting Ye Yiwei Dai Xu Shen Xin Wang LMTD 56 0 0 08 May 2025
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline João Eduardo Batista 34 0 0 27 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 36 0 0 27 Feb 2025
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 63 0 0 05 Dec 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu H. Lam Hongseok Namkoong LMTD 19 1 0 09 Oct 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution Yucheng Ruan Xiang Lan Jingying Ma Yizhi Dong Kai He Mengling Feng LMTD 62 3 0 20 Aug 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han Jinsung Yoon Sercan Ö. Arik Tomas Pfister LMTD 24 23 0 15 Apr 2024
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science Yazheng Yang Yuqi Wang Sankalok Sen Lei Li Qi Liu LMTD 41 9 0 29 Mar 2024
DP-TabICL: In-Context Learning with Differentially Private Tabular Data Alycia N. Carey Karuna Bhaila Kennedy Edemacu Xintao Wu 24 7 0 08 Mar 2024
Emergency Department Decision Support using Clinical Pseudo-notes Simon A. Lee Sujay Jain Alex Chen Kyoka Ono Jennifer Fang Á. Rudas Jeffrey N. Chiang 16 8 0 31 Jan 2024
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications Yanchen Liu Srishti Gautam Jiaqi Ma Himabindu Lakkaraju LMTD 21 10 0 23 Oct 2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs Zhikai Chen Haitao Mao Hang Li Wei Jin Haifang Wen ... Shuaiqiang Wang Dawei Yin Wenqi Fan Hui Liu Jiliang Tang AI4CE 30 261 0 07 Jul 2023
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 164 212 0 20 May 2022
DDXPlus: A New Dataset For Automatic Medical Diagnosis Arsène Fansi Tchango Rishab Goel Zhi Wen Julien Martel J. Ghosn 102 35 0 18 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020