1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2025
Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
Ye Jiang, Taihang Wang, Youzheng Liu +3
In-context learning (ICL) for text classification, which uses a few input-label demonstrations to describe a task, has demonstrated impressive performance on large language models…
cs.CL2024
Augmenting emotion features in irony detection with Large language modeling
Yucheng Lin, Yuhan Xia, Yunfei Long
This study introduces a novel method for irony detection, applying Large Language Models (LLMs) with prompt-based learning to facilitate emotion-centric text augmentation. Traditio…
cs.AI2024★ 1 cited
SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classification
Yuhan Xia, Qingqing Zhao, Yunfei Long +2
In traditional research approaches, sensory perception and emotion classification have traditionally been considered separate domains. Yet, the significant influence of sensory exp…