3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2025
GenFT: A Generative Parameter-Efficient Fine-Tuning Method for Pretrained Foundation Models
Guangning Xu, Baoquan Zhang, Michael. K. Ng
Parameter-efficient fine-tuning (PEFT) has emerged as a resource-efficient strategy for adapting Pretrained Foundation Models (PFMs) by learning a small number of task-specific upd…
cs.LG2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Bowen Zhang, Zhichao Huang, Genan Dai +3
Graph classification is a pivotal challenge in machine learning, especially within the realm of graph-based data, given its importance in numerous real-world applications such as s…
cs.CL2024★ 3 cited
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
Daijun Ding, Li Dong, Zhichao Huang +5
Stance detection aims to determine the attitude expressed in text towards a given target. Zero-shot stance detection (ZSSD) has emerged to classify stances towards unseen targets d…