1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Peiling Yi, Yuhan Xia, Yunfei Long
The generalisation of irony detection faces significant challenges, leading to substantial performance deviations when detection models are applied to diverse real-world scenarios.…
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…
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…