3 citations · 4 across the 7 of their papers we have counts for
7 papers
Nonexistence of invariant nodal line and improved restriction bounds for Neumann data on negatively curved surface
Xianchao Wu, Lan Zhang
The problem of obtaining the lower bounds on the restriction of Laplacian eigenfunctions to hypersurfaces inside a compact Riemannian manifold is challenging and has been a…
The restriction bounds for Neumann data on surface
Xianchao Wu
Let be a sequence of -normalized Laplacian eigenfunctions on a compact two-dimensional smooth Riemanniann manifold . We seek to get an restriction bound…
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar +2
Model alignment with human preferences is an essential step in making Large Language Models (LLMs) helpful and consistent with human values. It typically consists of supervised fin…
Duplex Diffusion Models Improve Speech-to-Speech Translation
Xianchao Wu
Speech-to-speech translation is a typical sequence-to-sequence learning task that naturally has two directions. How to effectively leverage bidirectional supervision signals to pro…
Enhancing Unsupervised Speech Recognition with Diffusion GANs
Xianchao Wu
We enhance the vanilla adversarial training method for unsupervised Automatic Speech Recognition (ASR) by a diffusion-GAN. Our model (1) injects instance noises of various intensit…
Attention Enhanced Citrinet for Speech Recognition
Xianchao Wu
Citrinet is an end-to-end convolutional Connectionist Temporal Classification (CTC) based automatic speech recognition (ASR) model. To capture local and global contextual informati…