Peng Ding

13 papers A* 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack.
CoRR
Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025 A* conf
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models.
EMNLP
Peng Ding, Wen Sun, Dailin Li, Wei Zou, Jiaming Wang, Jiajun Chen, Shujian Huang
2025 J jnl
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models.
CoRR
Peng Ding, Wen Sun, Dailin Li, Wei Zou, Jiaming Wang, Jiajun Chen, Shujian Huang
2025 — conf
Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement.
ACL (Findings)
Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025 J jnl
Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement.
CoRR
Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2024 — conf
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.
NAACL-HLT
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2024 A* conf
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.
ACM Multimedia
Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2024 J jnl
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs.
CoRR
Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2023 J jnl
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.
CoRR
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2018 J jnl
An Attentive Neural Sequence Labeling Model for Adverse Drug Reactions Mentions Extraction.
IEEE Access
Peng Ding, Xiaobing Zhou, Xuejie Zhang, Jin Wang, Zhenfeng Lei
2018 — conf
YNU Deep at SemEval-2018 Task 12: A BiLSTM Model with Neural Attention for Argument Reasoning Comprehension.
SemEval@NAACL-HLT
Peng Ding, Xiaobing Zhou
2018 — conf
YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension.
SemEval@NAACL-HLT
Peng Ding, Xiaobing Zhou
2017 — conf
YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations.
IJCNLP (Shared Tasks)
Min Wang, Qingxun Liu, Peng Ding, Yongbin Li, Xiaobing Zhou