Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation
in low-data regimes

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

19 December 2023

Papers citing "Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes"

13 / 13 papers shown

Title
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 46 0 0 20 Apr 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 38 0 0 27 Feb 2025
Few-shot LLM Synthetic Data with Distribution Matching Jiyuan Ren Zhaocheng Du Zhihao Wen Qinglin Jia Sunhao Dai Chuhan Wu Zhenhua Dong SyDa 77 0 0 09 Feb 2025
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding Nabeel Seedat Caterina Tozzi Andrea Hita Ardiaca M. Schaar James Weatherall Adam Taylor 162 0 0 20 Nov 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 100 0 0 07 Oct 2024
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
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 37 65 0 27 Feb 2024
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 56 59 0 08 Oct 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011