Changtong Zan

According to our database, Changtong Zan authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning.

Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao

CoRR, 2024

2023

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.

Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao

CoRR, 2023

Prompt-Learning for Cross-Lingual Relation Extraction.

Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu

Proceedings of the International Joint Conference on Neural Networks, 2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.

Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Vega-MT: The JD Explore Academy Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

CoRR, 2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.

Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao

CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

Proceedings of the Seventh Conference on Machine Translation, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.

Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Learn from Object Counting: Crowd Counting with Meta-learning.

Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu

IET Image Process., 2021