5 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
Xuanwen Ding, Jie Zhou, Liang Dou +4
Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments. Most existing studies focus on…
Magic Clothing: Controllable Garment-Driven Image Synthesis
Weifeng Chen, Tao Gu, Yuhao Xu +1
We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task. Aiming at generating customized characte…
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Yuhao Xu, Tao Gu, Weifeng Chen +1
We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON). We leverage the power of pretrained latent diffusion models,…
State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking
Ming Gu, Yan Yang, Chengcai Chen +1
Recently, low-resource dialogue state tracking (DST) has received increasing attention. First obtaining state values then based on values to generate slot types has made great prog…