Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction. - Zepeng Ding; Wenhao Huang; Jiaqing Liang; Yanghua Xiao; Deqing Yang (LREC/COLING, 2024)

P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models. - Guochao Jiang; Zepeng Ding; Yuchen Shi; Deqing Yang (CoRR, 2024)

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization. - Dixuan Wang; Yanda Li; Junyuan Jiang; Zepeng Ding; Guochao Jiang; Jiaqing Liang; Deqing Yang (CoRR, 2024)

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction. - Zepeng Ding; Ruiyang Ke; Wenhao Huang; Guochao Jiang; Yanda Li; Deqing Yang; Yanghua Xiao; Jiaqing Liang (CoRR, 2024)

Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy. - Guochao Jiang; Ziqin Luo; Chengwei Hu; Zepeng Ding; Deqing Yang (COLING, 2025)

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving. - Zepeng Ding; Dixuan Wang; Ziqin Luo; Guochao Jiang; Deqing Yang; Jiaqing Liang (CoRR, 2025)

FlashThink: An Early Exit Method For Efficient Reasoning. - Guochao Jiang; Guofeng Quan; Zepeng Ding; Ziqin Luo; Dixuan Wang; Zheng Hu (CoRR, 2025)