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cs.CV2025
Instruction Tuning of Large Language Models for Tabular Data Generation-in One Day
Milad Abdollahzadeh, Abdul Raheem, Zilong Zhao +5
Tabular instruction tuning has emerged as a promising research direction for improving LLMs understanding of tabular data. However, the majority of existing works only consider que…
cs.CV2021
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu +2
Generative Adversarial Networks (GANs) have emerged as useful generative models, which are capable of implicitly learning data distributions of arbitrarily complex dimensions. Howe…