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2020 – today
- 2024
[j5]Jie Zhou
, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang:
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25(1): 6-11 (2024)- [c26]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: 3201-3219 - [c25]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 - [c24]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: 11621-11640 - [c23]Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang:
Learning Task Decomposition to Assist Humans in Competitive Programming. ACL (1) 2024: 11700-11723 - [c22]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: 13034-13054 - [c21]Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang:
Language Model Decoding as Direct Metrics Optimization. ICLR 2024 - [c20]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024 - [i33]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 abs/2402.00856 (2024) - [i32]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) - [i31]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 abs/2405.14383 (2024) - [i30]Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang:
Learning Task Decomposition to Assist Humans in Competitive Programming. CoRR abs/2406.04604 (2024) - [i29]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 abs/2406.16714 (2024) - [i28]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) - [i27]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 abs/2407.03978 (2024) - 2023
- [j4]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): 207-219 (2023) - [j3]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. Trans. Assoc. Comput. Linguistics 11: 941-959 (2023) - [c19]Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang:
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. ACL (Findings) 2023: 1022-1040 - [c18]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: 9676-9691 - [c17]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 - [c16]Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp:
Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology. ICISSP 2023: 180-191 - [c15]Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang:
Tailoring Language Generation Models under Total Variation Distance. ICLR 2023 - [c14]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: 309-316 - [i26]Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang:
Tailoring Language Generation Models under Total Variation Distance. CoRR abs/2302.13344 (2023) - [i25]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. CoRR abs/2304.11791 (2023) - [i24]Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang:
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. CoRR abs/2306.03350 (2023) - [i23]Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. CoRR abs/2307.06869 (2023) - [i22]Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang:
Language Model Decoding as Direct Metrics Optimization. CoRR abs/2310.01041 (2023) - [i21]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 abs/2311.04155 (2023) - [i20]Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang:
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. CoRR abs/2311.09096 (2023) - [i19]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) - [i18]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 abs/2311.18702 (2023) - [i17]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 abs/2311.18743 (2023) - 2022
- [c13]Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Rethinking and Refining the Distinct Metric. ACL (2) 2022: 762-770 - [c12]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: 2306-2319 - [c11]Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. EMNLP 2022: 1617-1634 - [c10]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: 4178-4184 - [i16]Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Rethinking and Refining the Distinct Metric. CoRR abs/2202.13587 (2022) - [i15]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. CoRR abs/2203.09313 (2022) - [i14]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 abs/2204.00862 (2022) - [i13]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 abs/2206.02712 (2022) - [i12]Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. CoRR abs/2210.09175 (2022) - [i11]Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp:
Technical Report: Automating Vehicle SOA Threat Analysis using a Model-Based Methodology. CoRR abs/2212.12347 (2022) - 2021
- [j2]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: 93-99 (2021) - [j1]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: 216-224 (2021) - [c9]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: 2526-2538 - [c8]Romie Banerjee, Feng Liu, Pei Ke:
Towards Robust Perception Using Topological Invariants. AISafety@IJCAI 2021 - [i10]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 abs/2106.10502 (2021) - [i9]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 abs/2106.10715 (2021) - [i8]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 abs/2108.01547 (2021) - 2020
- [c7]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: 725-736 - [c6]Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang:
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. EMNLP (1) 2020: 6975-6988 - [c5]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang:
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. AACL/IJCNLP 2020: 248-257 - [c4]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: 91-103 - [i7]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 abs/2002.00583 (2020) - [i6]Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. CoRR abs/2008.03946 (2020) - [i5]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang:
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. CoRR abs/2009.11692 (2020) - [i4]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang:
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. CoRR abs/2009.11753 (2020) - [i3]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 abs/2012.00413 (2020)
2010 – 2019
- 2019
- [c3]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP/IJCNLP (1) 2019: 4270-4280 - [i2]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. CoRR abs/1908.07195 (2019) - [i1]Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang:
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. CoRR abs/1911.02493 (2019) - 2018
- [c2]Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu:
Generating Informative Responses with Controlled Sentence Function. ACL (1) 2018: 1499-1508 - 2010
- [c1]Zhang Sheng, Wang Yao-Li, Pei Ke:
The Key Technology of the New Generation Business System Used in the Domestic Commercial Bank. ICEE 2010: 2265-2268
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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