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Pei Ke
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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
178*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
1162020
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
1102020
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
962021
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
832018
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
762021
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
722021
ChatGPT: potential, prospects, and limitations
J Zhou, P Ke, X Qiu, M Huang, J Zhang
Frontiers of Information Technology & Electronic Engineering, 1-6, 2023
682023
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
442021
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
342023
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
222022
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
222019
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
212020
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Z Zhang, J Yang, P Ke, M Huang
arXiv preprint arXiv:2311.09096, 2023
202023
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
122023
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
122023
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation
P Ke, B Wen, Z Feng, X Liu, X Lei, J Cheng, S Wang, A Zeng, Y Dong, ...
arXiv preprint arXiv:2311.18702, 2023
102023
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
arXiv preprint arXiv:2311.04155, 2023
102023
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
102023
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
92022
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