activity
20222024
most citedHow would Stance Detection Techniques Evolve after the Launch of ChatGPT?

69 citations · 89 across the 4 of their papers we have counts for

collaborators

5 papers

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…

cs.CL2024

Cross-target Stance Detection by Exploiting Target Analytical Perspectives

Daijun Ding, Rong Chen, Liwen Jing +5

Cross-target stance detection (CTSD) is an important task, which infers the attitude of the destination target by utilizing annotated data derived from the source target. One impor…

cs.CV2024

WiFi-GEN: High-Resolution Indoor Imaging from WiFi Signals Using Generative AI

Jianyang Shi, Bowen Zhang, Amartansh Dubey +2

Indoor imaging is a critical task for robotics and internet-ofthings. WiFi as an omnipresent signal is a promising candidate for carrying out passive imaging and synchronizing the…

cs.CL2023★ 17 cited

Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media

Bowen Zhang, Xianghua Fu, Daijun Ding +5

Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, e…

cs.CL2022★ 69 cited

How would Stance Detection Techniques Evolve after the Launch of ChatGPT?

Bowen Zhang, Daijun Ding, Liwen Jing +2

Stance detection refers to the task of extracting the standpoint (Favor, Against or Neither) towards a target in given texts. Such research gains increasing attention with the prol…