2 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.CL2025
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.…