Meichen Liu

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic\n Information Preserving

2021 · arXiv (Cornell University)

With widening deployments of natural language processing (NLP) in daily life,\ninherited social biases from NLP models have become more severe and\nproblematic. Previous studies have shown that word embeddings trained on\nhuman-generated corpora have strong gender biases …

Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer

2024

Arbitrary style transfer aims to render artistic features from a style reference onto an image while retaining its original content. Previous methods either focus on learning the holistic style from a specific artist or extracting …