Pei Ke
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
10
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models. | Qizhi Jiang, Shuo Wang, Pei Ke, Yuhang Song, Ke Qin |
| 2026 | ACL | IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang |
| 2026 | ACL | IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Xiaoying Ling, Ying Zhang, Pei Ke, Hongning Wang, Minlie Huang |
| 2026 | SIGIR | From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models. | Tao Wen, Shuai Shao, Pei Ke, Xu Han, Jie Zou, Guannan Li, Tao Tian, Jinjie Qiu, Lan Wang, Ke Qin |
| 2025 | AAAI | CharacterBench: Benchmarking Character Customization of Large Language Models. | Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | ACL | Training Language Model to Critique for Better Refinement. | Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang |
| 2025 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Learning Task Decomposition to Assist Humans in Competitive Programming. | Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang |
| 2024 | ACL | Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. | Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | Language Model Decoding as Direct Metrics Optimization. | Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang |
| 2024 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2023 | ACL | DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. | Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang |
| 2023 | ACL | Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. | Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang |
| 2023 | EMNLP | Unveiling the Implicit Toxicity in Large Language Models. | Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang |
| 2023 | ICISSP | Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology. | Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schpp |
| 2023 | ICLR | Tailoring Language Generation Models under Total Variation Distance. | Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang |
| 2023 | ICSA | Safety-Aware Deployment Synthesis and Trade-Off Analysis of Apollo Autonomous Driving Platform. | Tarik Terzimehic, Simon Barner, Yuri Gil Dantas, Ulrich Schpp, Vivek Nigam, Pei Ke |
| 2022 | ACL | 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 |
| 2022 | ACL | Rethinking and Refining the Distinct Metric. | Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang |
| 2022 | EMNLP | Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. | Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang |
| 2022 | IJCAI | 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 |
| 2021 | ACL | 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 |
| 2021 | IJCAI | Towards Robust Perception Using Topological Invariants. | Romie Banerjee, Feng Liu, Pei Ke |
| 2020 | EMNLP | Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang |
| 2020 | EMNLP | SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. | Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang |
| 2020 | IJCNLP | Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang |
| 2019 | EMNLP | ARAML: A Stable Adversarial Training Framework for Text Generation. | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
| 2018 | ACL | Generating Informative Responses with Controlled Sentence Function. | Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu |