The Key Technology of the New Generation Business System Used in the Domestic Commercial Bank. - Zhang Sheng; Wang Yao-Li; Pei Ke (ICEE, 2010)

Generating Informative Responses with Controlled Sentence Function. - Pei Ke; Jian Guan 002; Minlie Huang; Xiaoyan Zhu 001 (ACL (1), 2018)

ARAML: A Stable Adversarial Training Framework for Text Generation. - Pei Ke; Fei Huang 005; Minlie Huang; Xiaoyan Zhu 001 (EMNLP/IJCNLP (1), 2019)

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. - Pei Ke; Haozhe Ji; Siyang Liu 003; Xiaoyan Zhu 001; Minlie Huang (CoRR, 2019)

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. - Haozhe Ji; Pei Ke; Shaohan Huang; Furu Wei; Xiaoyan Zhu 001; Minlie Huang (EMNLP (1), 2020)

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. - Pei Ke; Haozhe Ji; Siyang Liu 003; Xiaoyan Zhu 001; Minlie Huang (EMNLP (1), 2020)

Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. - Haozhe Ji; Pei Ke; Shaohan Huang; Furu Wei; Minlie Huang (AACL/IJCNLP, 2020)

A Large-Scale Chinese Short-Text Conversation Dataset. - Yida Wang 009; Pei Ke; Yinhe Zheng; Kaili Huang; Yong Jiang 001; Xiaoyan Zhu 001; Minlie Huang (NLPCC (1), 2020)

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. - Fei Huang 005; Dazhen Wan; Zhihong Shao; Pei Ke; Jian Guan 002; Yilin Niu; Xiaoyan Zhu 001; Minlie Huang (CoRR, 2020)

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. - Pei Ke; Haozhe Ji; Yu Ran; Xin Cui; Liwei Wang 009; Linfeng Song; Xiaoyan Zhu 001; Minlie Huang (ACL/IJCNLP (Findings), 2021)

Towards Robust Perception Using Topological Invariants. - Romie Banerjee; Feng Liu; Pei Ke (AISafety@IJCAI, 2021)

CPM-2: Large-scale cost-effective pre-trained language models. - Zhengyan Zhang; Yuxian Gu; Xu Han 007; Shengqi Chen 001; Chaojun Xiao; Zhenbo Sun; Yuan Yao 013; Fanchao Qi; Jian Guan 002; Pei Ke; Yanzheng Cai; Guoyang Zeng; et al. (AI Open, 2021)

CPM: A large-scale generative Chinese Pre-trained language model. - Zhengyan Zhang; Xu Han 007; Hao Zhou 012; Pei Ke; Yuxian Gu; Deming Ye; Yujia Qin; Yusheng Su; Haozhe Ji; Jian Guan 002; Fanchao Qi; Xiaozhi Wang; et al. (AI Open, 2021)

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. - Hao Zhou 012; Pei Ke; Zheng Zhang 020; Yuxian Gu; Yinhe Zheng; Chujie Zheng; Yida Wang 009; Chen Henry Wu; Hao Sun 012; Xiaocong Yang; Bosi Wen; Xiaoyan Zhu 001; et al. (CoRR, 2021)

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. - Pei Ke; Hao Zhou 012; Yankai Lin; Peng Li 030; Jie Zhou 016; Xiaoyan Zhu 001; Minlie Huang (ACL (1), 2022)

Rethinking and Refining the Distinct Metric. - Siyang Liu 003; Sahand Sabour; Yinhe Zheng; Pei Ke; Xiaoyan Zhu 001; Minlie Huang (ACL (2), 2022)

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. - Yuxian Gu; Pei Ke; Xiaoyan Zhu 001; Minlie Huang (EMNLP, 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 001; Minlie Huang (IJCAI, 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)

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. - Pei Ke; Fei Huang 005; Fei Mi; Yasheng Wang; Qun Liu 001; Xiaoyan Zhu 001; Minlie Huang (ACL (1), 2023)

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. - Chujie Zheng; Pei Ke; Zheng Zhang 020; Minlie Huang (ACL (Findings), 2023)

Unveiling the Implicit Toxicity in Large Language Models. - Jiaxin Wen; Pei Ke; Hao Sun; Zhexin Zhang; Chengfei Li; Jinfeng Bai; Minlie Huang (EMNLP, 2023)

Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology. - Yuri Gil Dantas; Simon Barner; Pei Ke; Vivek Nigam; Ulrich Schöpp (ICISSP, 2023)

Tailoring Language Generation Models under Total Variation Distance. - Haozhe Ji; Pei Ke; Zhipeng Hu; Rongsheng Zhang; Minlie Huang (ICLR, 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 (ICSA-C, 2023)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Minlie Huang (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 036; Xuanyu Lei; Jiale Cheng; Shengyuan Wang 002; Aohan Zeng; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (CoRR, 2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Zhuoer Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (CoRR, 2023)

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. - Fei Huang 005; Pei Ke; Minlie Huang (Trans. Assoc. Comput. Linguistics, 2023)

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training. - Yuxian Gu; Jiaxin Wen; Hao Sun 012; Yi Song; Pei Ke; Chujie Zheng; Zheng Zhang 020; Jianzhu Yao; Lei Liu 047; Xiaoyan Zhu 001; Minlie Huang (Mach. Intell. Res., 2023)

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. - Jiale Cheng; Xiao Liu 036; Kehan Zheng; Pei Ke; Hongning Wang; Yuxiao Dong; Jie Tang 001; Minlie Huang (ACL (1), 2024)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. - Pei Ke; Bosi Wen; Andrew Feng; Xiao Liu 036; Xuanyu Lei; Jiale Cheng; Shengyuan Wang 002; Aohan Zeng; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (ACL (1), 2024)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Andrew Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (ACL (1), 2024)

Learning Task Decomposition to Assist Humans in Competitive Programming. - Jiaxin Wen; Ruiqi Zhong; Pei Ke; Zhihong Shao; Hongning Wang; Minlie Huang (ACL (1), 2024)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Fei Mi; Hongning Wang; Minlie Huang (ACL (1), 2024)

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. - Jiale Cheng; Yida Lu; Xiaotao Gu; Pei Ke; Xiao Liu 036; Yuxiao Dong; Hongning Wang; Jie Tang 001; Minlie Huang (EMNLP (Findings), 2024)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. - Zhexin Zhang; Yida Lu; Jingyuan Ma; Di Zhang; Rui Li 094; Pei Ke; Hao Sun; Lei Sha; Zhifang Sui; Hongning Wang; Minlie Huang (EMNLP (Findings), 2024)

CharacterGLM: Customizing Social Characters with Large Language Models. - Jinfeng Zhou; Zhuang Chen 002; Dazhen Wan; Bosi Wen; Yi Song; Jifan Yu; Yongkang Huang; Pei Ke; Guanqun Bi; Libiao Peng; Jiaming Yang; Xiyao Xiao; et al. (EMNLP (Industry Track), 2024)

Language Model Decoding as Direct Metrics Optimization. - Haozhe Ji; Pei Ke; Hongning Wang; Minlie Huang (ICLR, 2024)

Towards Efficient Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; Minlie Huang (ICML, 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; Jiaxing Xu; Yiming Liu; Jie Tang; et al. (NeurIPS, 2024)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. - Zhihua Wen; Zhiliang Tian; Zexin Jian; Zhen Huang 006; Pei Ke; Yifu Gao; Minlie Huang; Dongsheng Li (NeurIPS, 2024)

Towards Efficient and Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; 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 006; Pei Ke; Yifu Gao; Minlie Huang; Dongsheng Li 001 (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)

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 001; et al. (CoRR, 2024)

The Superalignment of Superhuman Intelligence with Large Language Models. - Minlie Huang; Yingkang Wang; Shiyao Cui; Pei Ke; Jie Tang 001 (CoRR, 2024)

ChatGPT: potential, prospects, and limitations. - Jie Zhou 015; Pei Ke; Xipeng Qiu; Minlie Huang; Junping Zhang (Frontiers Inf. Technol. Electron. Eng., 2024)

CharacterBench: Benchmarking Character Customization of Large Language Models. - Jinfeng Zhou; Yongkang Huang; Bosi Wen; Guanqun Bi; Yuxuan Chen; Pei Ke; Zhuang Chen 002; Xiyao Xiao; Libiao Peng; Kuntian Tang; Rongsheng Zhang; Le Zhang; et al. (AAAI, 2025)

Training Language Model to Critique for Better Refinement. - Tianshu Yu 004; Chao Xiang; Mingchuan Yang; Pei Ke; Bosi Wen; Cunxiang Wang; Jiale Cheng; Li Zhang; Xinyu Mu; Chuxiong Sun; Minlie Huang (ACL (Findings), 2025)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. - Bosi Wen; Pei Ke; Yufei Sun; Cunxiang Wang; Xiaotao Gu; Jinfeng Zhou; Jie Tang; Hongning Wang; Minlie Huang (ACL (Findings), 2025)

Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems. - Yuezhou Dong; Ke Qin; Pei Ke; Shuang Liang 002; Guangchun Luo (IEEE Internet Things J., 2025)