11 citations · 12 across the 4 of their papers we have counts for
4 papers
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
Sidi Lu, Wenbo Zhao, Chenyang Tao +4
NeurAlly-Decomposed Oracle (NADO) is a powerful approach for controllable generation with large language models. It is designed to avoid catastrophic forgetting while achieving gua…
Spectrality of a class of infinite convolutions on
Sha Wu, Yingqing Xiao
Given an integer . Let be a symbolic space, and let $\{(b_{k},D_{k})\}_{k=1}^{m}:=\{(b_{k}, \{0,1,\cdots, p_{k}-1\}t_{k}) \}_{k=1}…
Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
Yu-Rong Zhang, Ruei-Yang Su, Sheng Yen Chou +1
Abstract Generative adversarial networks (GANs) have achieved impressive performance in data synthesis and have driven the development of many applications. However, GANs are known…
Variational Recurrent Neural Machine Translation
Jinsong Su, Shan Wu, Deyi Xiong +3
Partially inspired by successful applications of variational recurrent neural networks, we propose a novel variational recurrent neural machine translation (VRNMT) model in this pa…