4 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang, Jin Wang, Liang-Chih Yu +2
Current neural networks often employ multi-domain-learning or attribute-injecting mechanisms to incorporate non-independent and identically distributed (non-IID) information for te…
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
Guangmin Zheng, Jin Wang, Liang-Chih Yu +1
Aspect-based sentiment analysis (ABSA) identifies sentiment information related to specific aspects and provides deeper market insights to businesses and organizations. With the em…
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
Jin Wang, Liang-Chih Yu, Xuejie Zhang
The pre-training for language models captures general language understanding but fails to distinguish the affective impact of a particular context to a specific word. Recent works…
Personalized LoRA for Human-Centered Text Understanding
You Zhang, Jin Wang, Liang-Chih Yu +2
Effectively and efficiently adapting a pre-trained language model (PLM) for human-centered text understanding (HCTU) is challenging since user tokens are million-level in most pers…