YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations. - Min Wang; Qingxun Liu; Peng Ding 001; Yongbin Li; Xiaobing Zhou (IJCNLP (Shared Tasks), 2017)

YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension. - Peng Ding 001; Xiaobing Zhou (SemEval@NAACL-HLT, 2018)

YNU Deep at SemEval-2018 Task 12: A BiLSTM Model with Neural Attention for Argument Reasoning Comprehension. - Peng Ding 001; Xiaobing Zhou (SemEval@NAACL-HLT, 2018)

An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction. - Peng Ding 001; Xiaobing Zhou; Xuejie Zhang 002; Jin Wang 008; Zhenfeng Lei (IEEE Access, 2018)

Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. - Peng Ding 001; Jingyu Wu; Jun Kuang; Dan Ma 008; Xuezhi Cao; Xunliang Cai; Shi Chen 005; Jiajun Chen 001; Shujian Huang (ACM Multimedia, 2024)

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. - Peng Ding 001; Jun Kuang; Dan Ma 008; Xuezhi Cao; Yunsen Xian; Jiajun Chen 001; Shujian Huang (NAACL-HLT, 2024)

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. - Peng Ding 001; Jun Kuang; ZongYu Wang; Xuezhi Cao; Xunliang Cai; Jiajun Chen 001; Shujian Huang (ACL (Findings), 2025)

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. - Peng Ding 001; Jun Kuang; Zongyu Wang; Xuezhi Cao; Xunliang Cai; Jiajun Chen 001; Shujian Huang (CoRR, 2025)