publications

2026

1. Language model collaboration for relation extraction from classical Chinese historical documents

   Xuemei Tang, Linxu Wang, and Jun Wang

   Information Processing & Management, Jan 2026

   DOI

2025

1. Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition

   Xuemei Tang, Xufeng Duan, and Zhenguang Cai

   In EMNLP 2025, Nov 2025

   DOI
2. An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling

   Xuemei Tang, Jun Wang, Qi Su, and 2 more authors

   In ACL 2025 (Volume 2: Short Papers), Jul 2025

   Abs DOI

   Sequence labeling models often benefit from incorporating external knowledge. However, this practice introduces data heterogeneity and complicates the model with additional modules, leading to increased expenses for training a high-performing model. To address this challenge, we propose a dual-stage curriculum learning (DCL) framework specifically designed for sequence labeling tasks. The DCL framework enhances training by gradually introducing data instances from easy to hard. Additionally, we introduce a dynamic metric for evaluating the difficulty levels of sequence labeling tasks. Experiments on several sequence labeling datasets show that our model enhances performance and accelerates training, mitigating the slow training issue of complex models.

2024

1. CHisIEC: An Information Extraction Corpus for Ancient Chinese History

   Xuemei Tang, Qi Su, Jun Wang, and 1 more author

   In LREC-COLING 2024, May 2024
2. HLB: Benchmarking LLMs’ Humanlikeness in Language Use

   Xufeng Duan, Bei Xiao, Xuemei Tang, and 1 more author

   Sep 2024

   arXiv:2409.15890 [cs]

   DOI