Haozhe Ji

According to our database, Haozhe Ji authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Efficient and Exact Optimization of Language Model Alignment.

Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

CoRR, 2024

2023

Language Model Decoding as Direct Metrics Optimization.

Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

CoRR, 2023

Tailoring Language Generation Models under Total Variation Distance.

Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LaMemo: Language Modeling with Look-Ahead Memory.

Haozhe Ji, Rongsheng Zhang, Zhenyu Yang, Zhipeng Hu, Minlie Huang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

CPM: A large-scale generative Chinese Pre-trained language model.

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

AI Open, 2021

DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer.

Haozhe Ji, Minlie Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.

Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang

CoRR, 2019

2018

Denoising Distantly Supervised Open-Domain Question Answering.

Yankai Lin, Haozhe Ji, Zhiyuan Liu, Maosong Sun

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018