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2406.10521
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MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
15 June 2024
Yaobin Ling
Xiaoqian Jiang
Yejin Kim
SyDa
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Papers citing
"MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data"
6 / 6 papers shown
Title
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
Yihan Lin
Zhirong Bella Yu
Simon Lee
SyDa
31
0
0
20 Apr 2025
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
Yunbo Long
Liming Xu
Alexandra Brintrup
60
1
0
06 Feb 2025
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
Jen-tse Huang
E. Li
Man Ho Lam
Tian Liang
Wenxuan Wang
Youliang Yuan
Wenxiang Jiao
Xing Wang
Zhaopeng Tu
Michael R. Lyu
ELM
LLMAG
74
32
0
18 Mar 2024
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
SeungHwan An
Jong-June Jeon
DRL
27
6
0
22 Feb 2023
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
3,790
0
24 Feb 2021
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
1