Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation

no code implementations • 17 May 2024 • Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang

Then a two-stage fine-tuning on LLaMA 2 is performed on the generated data and the real data for the DST prediction.

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification

no code implementations • 24 Aug 2023 • Ziqi Yang, Zhongyu Li, Chen Liu, Xiangde Luo, Xingguang Wang, Dou Xu, CHAOQUN LI, Xiaoying Qin, Meng Yang, Long Jin

To make full use of pixel-level and cell-level features dynamically, we propose an asymmetric co-training framework combining a deep graph convolutional network and a convolutional neural network for multi-class histopathological image classification.

Classification Histopathological Image Classification +1