作者位次 #3/3ACL 2026Findings· Findings of ACL
MALLM - GAN : Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
Yaobin Ling · Xiaoqian Jiang · Yejin Kim
摘要
In the era of big data, access to abundant data is crucial to driving research forward. However, such data are often inaccessible due to privacy concerns or high costs, particularly in the healthcare domain. Generating synthetic (tabular) data can address this, but existing models typically requi...