| 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 | 159* | 2020 |
| 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 | 111 | 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 | 100 | 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 | 84 | 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 | 80 | 2018 |
| 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 | 64 | 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 | 57 | 2021 |
| 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 | 47 | 2021 |
| ChatGPT: potential, prospects, and limitations J Zhou, P Ke, X Qiu, M Huang, J Zhang Frontiers of Information Technology & Electronic Engineering, 1-6, 2023 | 38 | 2023 |
| 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 | 34 | 2023 |
| 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 | 22 | 2019 |
| 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 | 20 | 2022 |
| 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 | 18 | 2020 |
| Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization Y Gu, P Ke, X Zhu, M Huang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 7 | 2022 |
| 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 | 6 | 2023 |
| Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning C Zheng, P Ke, Z Zhang, M Huang arXiv preprint arXiv:2306.03350, 2023 | 5 | 2023 |
| A text GAN for language generation with non-autoregressive generator F Huang, J Guan, P Ke, Q Guo, X Zhu, M Huang | 4 | 2020 |
| Semantic-enhanced explainable finetuning for open-domain dialogues Y Zheng, Y Wang, P Ke, Z Yang, M Huang arXiv preprint arXiv:2106.03065, 2021 | 3 | 2021 |
| CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation F Huang, D Wan, Z Shao, P Ke, J Guan, Y Niu, X Zhu, M Huang arXiv preprint arXiv:2002.00583, 2020 | 3 | 2020 |
| Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation F Huang, P Ke, M Huang arXiv preprint arXiv:2304.11791, 2023 | 2 | 2023 |
Minlie HuangTsinghua UniversityVerified email at tsinghua.edu.cn
