UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models

9 October 2024

Papers citing "UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models"

8 / 8 papers shown

Title
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Noah Hollmann Samuel G. Müller Frank Hutter 62 58 0 05 May 2023
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 420 6,202 0 05 Apr 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 371 10,273 0 17 Jun 2021
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 143 2,092 0 30 Jul 2020
GAMA: a General Automated Machine learning Assistant Pieter Gijsbers Joaquin Vanschoren 46 27 0 09 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 615 41,736 0 28 May 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 171 621 0 13 Mar 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 65 203 0 12 Nov 2019