599 citations · 1.9k across the 42 of their papers we have counts for
4 papers · 1 filter
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following
Kaize Shi, Xueyao Sun, Dingxian Wang +3
E-commerce authoring entails creating engaging, diverse, and targeted content to enhance preference elicitation and retrieval experience. While Large Language Models (LLMs) have re…
Unlocking the Power of GANs in Non-Autoregressive Text Generation
Da Ren, Yi Cai, Qing Li
Generative Adversarial Networks (GANs) have been studied in text generation to tackle the exposure bias problem. Despite their remarkable development, they adopt autoregressive str…
InitialGAN: A Language GAN with Completely Random Initialization
Da Ren, Qing Li
Text generative models trained via Maximum Likelihood Estimation (MLE) suffer from the notorious exposure bias problem, and Generative Adversarial Networks (GANs) are shown to have…
An Investigation of Few-Shot Learning in Spoken Term Classification
Yangbin Chen, Tom Ko, Lifeng Shang +3
In this paper, we investigate the feasibility of applying few-shot learning algorithms to a speech task. We formulate a user-defined scenario of spoken term classification as a few…