Pei Ke

According to our database, Pei Ke authored at least 45 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ChatGPT: potential, prospects, and limitations.

Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang

Frontiers Inf. Technol. Electron. Eng., January, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.

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

CoRR, 2024

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks.

Zhexin Zhang, Junxiao Yang, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang

CoRR, 2024

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering.

Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li

CoRR, 2024

Towards Efficient and Exact Optimization of Language Model Alignment.

Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

CoRR, 2024

Towards Efficient Exact Optimization of Language Model Alignment.

Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Model Decoding as Direct Metrics Optimization.

Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CharacterGLM: Customizing Social Characters with Large Language Models.

Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors.

Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.

Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.

Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Task Decomposition to Assist Humans in Competitive Programming.

Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.

Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.

Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training.

Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang

Mach. Intell. Res., April, 2023

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation.

Fei Huang, Pei Ke, Minlie Huang

Trans. Assoc. Comput. Linguistics, 2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

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

CoRR, 2023

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.

Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

CoRR, 2023

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.

Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang

CoRR, 2023

Safety-Aware Deployment Synthesis and Trade-Off Analysis of Apollo Autonomous Driving Platform.

Tarik Terzimehic, Simon Barner, Yuri Gil Dantas, Ulrich Schöpp, Vivek Nigam, Pei Ke

Proceedings of the 20th International Conference on Software Architecture, 2023

Tailoring Language Generation Models under Total Variation Distance.

Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology.

Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

Unveiling the Implicit Toxicity in Large Language Models.

Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning.

Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering.

Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Technical Report: Automating Vehicle SOA Threat Analysis using a Model-Based Methodology.

Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp

CoRR, 2022

Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation.

Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization.

Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking and Refining the Distinct Metric.

Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.

Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.

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

CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.

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

AI Open, 2021

CPM-2: Large-scale cost-effective pre-trained language models.

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

AI Open, 2021

Towards Robust Perception Using Topological Invariants.

Romie Banerjee, Feng Liu, Pei Ke

Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs.

Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation.

Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang

CoRR, 2020

A Large-Scale Chinese Short-Text Conversation Dataset.

Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

CoRR, 2019

ARAML: A Stable Adversarial Training Framework for Text Generation.

Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Generating Informative Responses with Controlled Sentence Function.

Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2010

The Key Technology of the New Generation Business System Used in the Domestic Commercial Bank.

Zhang Sheng, Wang Yao-Li, Pei Ke

Proceedings of the International Conference on E-Business and E-Government, 2010