5 citations · 8 across the 6 of their papers we have counts for
6 papers
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…
Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems
Fangzhen Lin, Ziyi Shou, Chengcai Chen
For a natural language problem that requires some non-trivial reasoning to solve, there are at least two ways to do it using a large language model (LLM). One is to ask it to solve…
MOSS: End-to-End Dialog System Framework with Modular Supervision
Weixin Liang, Youzhi Tian, Chengcai Chen +1
A major bottleneck in training end-to-end task-oriented dialog system is the lack of data. To utilize limited training data more efficiently, we propose Modular Supervision Network…