2 citations · 3 across the 4 of their papers we have counts for
4 papers
Shortcut Learning in In-Context Learning: A Survey
Rui Song, Yingji Li, Lida Shi +2
Shortcut learning refers to the phenomenon where models employ simple, non-robust decision rules in practical tasks, which hinders their generalization and robustness. With the rap…
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
Rui Song, Fausto Giunchiglia, Yingji Li +2
Cross-domain text classification aims to transfer models from label-rich source domains to label-poor target domains, giving it a wide range of practical applications. Many approac…
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search
Rui Song, Fausto Giunchiglia, Yingji Li +1
Despite large-scale pre-trained language models have achieved striking results for text classificaion, recent work has raised concerns about the challenge of shortcut learning. In…
Label prompt for multi-label text classification
Rui Song, Xingbing Chen, Zelong Liu +4
One of the key problems in multi-label text classification is how to take advantage of the correlation among labels. However, it is very challenging to directly model the correlati…