Pei Ke

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Directed Acyclic

Top Venues

Publications

Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. ACL (1) (2024)
Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) (2024)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. ICLR (2024)
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)
Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) (2024)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) (2024)
Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. CoRR (2024)
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 (2024)
Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. CoRR (2024)
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 (2024)
Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR (2024)
Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR (2024)
Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR (2024)
Tarik Terzimehic, Simon Barner, Yuri Gil Dantas, Ulrich Schöpp, Vivek Nigam, Pei Ke
Safety-Aware Deployment Synthesis and Trade-Off Analysis of Apollo Autonomous Driving Platform. ICSA-C (2023)
Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. CoRR (2023)
Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang
Unveiling the Implicit Toxicity in Large Language Models. EMNLP (2023)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR (2023)
Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. CoRR (2023)
Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang
Tailoring Language Generation Models under Total Variation Distance. ICLR (2023)
Fei Huang, Pei Ke, Minlie Huang
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. CoRR (2023)
Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. ACL (Findings) (2023)
Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. CoRR (2023)
Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training. Mach. Intell. Res. 20 (2) (2023)
Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang
Tailoring Language Generation Models under Total Variation Distance. CoRR (2023)
Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp
Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology. ICISSP (2023)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. CoRR (2023)
Fei Huang, Pei Ke, Minlie Huang
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. CoRR (2023)
Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang
Unveiling the Implicit Toxicity in Large Language Models. CoRR (2023)
Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. CoRR (2023)
Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. ACL (1) (2023)
Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp
Technical Report: Automating Vehicle SOA Threat Analysis using a Model-Based Methodology. CoRR (2022)
Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. EMNLP (2022)
Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. IJCAI (2022)
Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang
Rethinking and Refining the Distinct Metric. ACL (2) (2022)
Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Xiaoyan Zhu, Jie Tang, Minlie Huang
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training. CoRR (2022)
Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. CoRR (2022)
Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) (2022)
Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR (2022)
Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang
Rethinking and Refining the Distinct Metric. CoRR (2022)
Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. CoRR (2022)
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2 (2021)
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
CPM-2: Large-scale Cost-effective Pre-trained Language Models. CoRR (2021)
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. ACL/IJCNLP (Findings) (2021)
Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR (2021)
Romie Banerjee, Feng Liu, Pei Ke
Towards Robust Perception Using Topological Invariants. AISafety@IJCAI (2021)
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
CPM-2: Large-scale cost-effective pre-trained language models. AI Open 2 (2021)
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. CoRR (2021)
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. CoRR (2020)
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. AACL/IJCNLP (2020)
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. EMNLP (1) (2020)
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. EMNLP (1) (2020)
Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang
A Large-Scale Chinese Short-Text Conversation Dataset. NLPCC (1) (2020)
Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang
A Large-Scale Chinese Short-Text Conversation Dataset. CoRR (2020)
Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. CoRR (2020)
Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. CoRR (2020)
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR (2020)
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. CoRR (2019)
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu
ARAML: A Stable Adversarial Training Framework for Text Generation. CoRR (2019)
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu
ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP/IJCNLP (1) (2019)
Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu
Generating Informative Responses with Controlled Sentence Function. ACL (1) (2018)
Zhang Sheng, Wang Yao-Li, Pei Ke
The Key Technology of the New Generation Business System Used in the Domestic Commercial Bank. ICEE (2010)