| SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge P Ke, H Ji, S Liu, X Zhu, M Huang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 213* | 2020 |
| ChatGPT: potential, prospects, and limitations J Zhou, P Ke, X Qiu, M Huang, J Zhang Frontiers of Information Technology & Electronic Engineering, 1-6, 2023 | 146 | 2023 |
| A large-scale chinese short-text conversation dataset Y Wang, P Ke, Y Zheng, K Huang, Y Jiang, X Zhu, M Huang Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 141 | 2020 |
| Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph H Ji, P Ke, S Huang, F Wei, X Zhu, M Huang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 140 | 2020 |
| CPM: A large-scale generative Chinese pre-trained language model Z Zhang, X Han, H Zhou, P Ke, Y Gu, D Ye, Y Qin, Y Su, H Ji, J Guan, F Qi, ... AI Open 2, 93-99, 2021 | 124 | 2021 |
| JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs P Ke, H Ji, Y Ran, X Cui, L Wang, L Song, X Zhu, M Huang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 113 | 2021 |
| Cpm-2: Large-scale cost-effective pre-trained language models Z Zhang, Y Gu, X Han, S Chen, C Xiao, Z Sun, Y Yao, F Qi, J Guan, P Ke, ... AI Open 2, 216-224, 2021 | 92 | 2021 |
| Generating informative responses with controlled sentence function P Ke, J Guan, M Huang, X Zhu Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 88 | 2018 |
| Defending large language models against jailbreaking attacks through goal prioritization Z Zhang, J Yang, P Ke, F Mi, H Wang, M Huang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 71 | 2024 |
| Black-Box Prompt Optimization: Aligning Large Language Models without Model Training J Cheng, X Liu, K Zheng, P Ke, H Wang, Y Dong, J Tang, M Huang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 57 | 2024 |
| Unveiling the Implicit Toxicity in Large Language Models J Wen, P Ke, H Sun, Z Zhang, C Li, J Bai, M Huang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 57 | 2023 |
| Alignbench: Benchmarking chinese alignment of large language models X Liu, X Lei, S Wang, Y Huang, Z Feng, B Wen, J Cheng, P Ke, Y Xu, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 51 | 2024 |
| EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training H Zhou, P Ke, Z Zhang, Y Gu, Y Zheng, C Zheng, Y Wang, CH Wu, H Sun, ... arXiv preprint arXiv:2108.01547, 2021 | 48 | 2021 |
| CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation P Ke, B Wen, A Feng, X Liu, X Lei, J Cheng, S Wang, A Zeng, Y Dong, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 46* | 2024 |
| Eva2. 0: Investigating open-domain chinese dialogue systems with large-scale pre-training Y Gu, J Wen, H Sun, Y Song, P Ke, C Zheng, Z Zhang, J Yao, L Liu, X Zhu, ... Machine Intelligence Research 20 (2), 207-219, 2023 | 45 | 2023 |
| CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation P Ke, H Zhou, Y Lin, P Li, J Zhou, X Zhu, M Huang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 31 | 2022 |
| Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning C Zheng, P Ke, Z Zhang, M Huang Findings of the Association for Computational Linguistics: ACL 2023, 1022-1040, 2023 | 26 | 2023 |
| Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths H Ji, P Ke, S Huang, F Wei, M Huang Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 26 | 2020 |
| ARAML: A Stable Adversarial Training Framework for Text Generation P Ke, F Huang, M Huang, X Zhu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 24 | 2019 |
| Tailoring Language Generation Models under Total Variation Distance H Ji, P Ke, Z Hu, R Zhang, M Huang The Eleventh International Conference on Learning Representations, 2023 | 23 | 2023 |
Xiaoyan ZhuTsinghua UniversityEmail verificata su tsinghua.edu.cn
