2 papers
cs.CL2025
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Xuemei Tang, Jun Wang, Qi Su +2
Sequence labeling models often benefit from incorporating external knowledge. However, this practice introduces data heterogeneity and complicates the model with additional modules…
cs.CL2024
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
Xuemei Tang, Jun Wang
Recently, large language models (LLMs) have been successful in relational extraction (RE) tasks, especially in the few-shot learning. An important problem in the field of RE is lon…