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Zhexin Zhang
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2020 – today
- 2024
- [c17]Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang:
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. ACL (1) 2024: 8865-8887 - [c16]Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models. ACL (1) 2024: 15537-15553 - [c15]Zhexin Zhang:
A Design of Interface for Visual-Impaired People to Access Visual Information from Images Featuring Large Language Models and Visual Language Models. CHI Extended Abstracts 2024: 390:1-390:4 - [i15]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR abs/2402.16444 (2024) - [i14]Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li:
Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack. CoRR abs/2406.11682 (2024) - [i13]Zhexin Zhang, Junxiao Yang, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang:
Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. CoRR abs/2407.02855 (2024) - 2023
- [j1]Zhexin Zhang, Jiajun Ding, Jun Yu, Yiming Yuan, Jianping Fan:
Import vertical characteristic of rain streak for single image deraining. Multim. Syst. 29(1): 105-115 (2023) - [c14]Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu, Minlie Huang:
Self-Supervised Sentence Polishing by Adding Engaging Modifiers. ACL (demo) 2023: 499-507 - [c13]Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang:
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions. ACL (1) 2023: 2213-2230 - [c12]Zhexin Zhang, Jiaxin Wen, Minlie Huang:
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. ACL (1) 2023: 12674-12687 - [c11]Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang:
Unveiling the Implicit Toxicity in Large Language Models. EMNLP 2023: 1322-1338 - [c10]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Minlie Huang:
InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning. EMNLP (Findings) 2023: 10421-10436 - [i12]Jiawen Deng, Hao Sun, Zhexin Zhang, Jiale Cheng, Minlie Huang:
Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey. CoRR abs/2302.09270 (2023) - [i11]Hao Sun, Zhexin Zhang, Jiawen Deng, Jiale Cheng, Minlie Huang:
Safety Assessment of Chinese Large Language Models. CoRR abs/2304.10436 (2023) - [i10]Zhexin Zhang, Jiaxin Wen, Minlie Huang:
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. CoRR abs/2307.04401 (2023) - [i9]Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions. CoRR abs/2309.07045 (2023) - [i8]Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang:
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. CoRR abs/2311.09096 (2023) - [i7]Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang:
Unveiling the Implicit Toxicity in Large Language Models. CoRR abs/2311.17391 (2023) - 2022
- [c9]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. ACL (Findings) 2022: 3053-3060 - [c8]Zhexin Zhang, Jian Guan, Guowei Xu, Yixiang Tian, Minlie Huang:
Automatic Comment Generation for Chinese Student Narrative Essays. EMNLP (Demos) 2022: 214-223 - [c7]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. EMNLP (Findings) 2022: 3684-3697 - [c6]Jingjing Li, Ye Yang, Zhexin Zhang, Yinan Zhao, Xanat Vargas Meza, Yoichi Ochiai:
Visualizing the Electroencephalography Signal Discrepancy When Maintaining Social Distancing: EEG-Based Interactive Moiré Patterns. HCI (21) 2022: 185-197 - [c5]Zhexin Zhang, Jun-Li Lu, Yoichi Ochiai:
Indoor Auto-Navigate System for Electric Wheelchairs in a Nursing Home. HCI (7) 2022: 542-552 - [c4]Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang:
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. NAACL-HLT 2022: 3346-3361 - [i6]Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang:
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. CoRR abs/2204.10703 (2022) - [i5]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. CoRR abs/2209.07697 (2022) - [i4]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. CoRR abs/2212.01810 (2022) - [i3]Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang:
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions. CoRR abs/2212.10720 (2022) - 2021
- [c3]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL/IJCNLP (1) 2021: 6394-6407 - [c2]Zhexin Zhang, Jun-Li Lu, Yoichi Ochiai:
A Customized VR Rendering with Neural-Network Generated Frames for Reducing VR Dizziness. HCI (38) 2021: 375-380 - [i2]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. CoRR abs/2105.08920 (2021)
2010 – 2019
- 2019
- [c1]Fei Zuo, Xiaopeng Li, Patrick Young, Lannan Luo, Qiang Zeng, Zhexin Zhang:
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs. NDSS 2019 - 2018
- [i1]Fei Zuo, Xiaopeng Li, Zhexin Zhang, Patrick Young, Lannan Luo, Qiang Zeng:
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs. CoRR abs/1808.04706 (2018)
Coauthor Index
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last updated on 2024-10-10 21:19 CEST by the dblp team
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