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陈云

助理教授

上海财经大学信息管理与工程学院

邮箱:yunchen[at]sufe[dot]edu[dot]cn

[Google Scholar]

我在上海财经大学信息管理学院担任助理教授,研究方向为自然语言处理。我2018年在香港大学获得博士学位,2013年在清华大学电子系获得学士学位。读博期间,我曾在清华大学刘洋教授课题组和纽约大学CILVR课题组进行访问。博士毕业后我曾在香港华为诺亚方舟实验室担任语音语义研究员。我曾担任EMNLP 2022,CCL 2023的领域主席以及ACL, EMNLP, AAAI, COLING, AACL, AIJ, FCS, TALLIP, JCST等期刊会议的审稿人。

我的研究兴趣为机器学习及自然语言处理,目前主要研究大模型和多语言多模态学习。

招收博士生、硕士生,欢迎有志于自然语言处理研究的学生加入本课题组!请附简历邮件联系

新闻

2023-05, 我们有两篇长文被ACL 2024 (1 主会1 findings)接收, LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative TasksPACIT: Unlocking the Power of Examples for Better In-Context

2024-03. 我们联合蚂蚁集团和BCTC发布大模型在金融领域的应用技术与安全白皮书 with Ant Group and BCTC [PDF]

2023-08, 我们有一篇文章获得 CCL 2023最佳英文论文,Lexical Complexity Controlled Sentence Generation for Language Learning 

2023-05, 我们有一篇长文被ACL 2023主会接收, mCLIP: Multilingual CLIP via Cross-lingual Transfer 

2023-04, 我将担任CCL 2023的领域主席

部分发表的论文

Preprint

Tastle: Distract Large Language Models for Automatic Jailbreak Attack

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen*. [PDF]

 

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models

Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Maosong Sun, Erhong Yang. [PDF]

 

Published

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks

Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen*, Ziyuan Liu, Maosong Sun.  In Proceedings of ACL 2024. (CCF A)

[PDF]

 

PACIT: Unlocking the Power of Examples for Better In-Context

Tianci Xue,  Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen.  In Findings of ACL 2024. (CCF A)

 

StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation

Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen*. In Findings of EMNLP 2023. (CCF B)

[PDF]

 

mCLIP: Multilingual CLIP via Cross-lingual Transfer

Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. In Proceedings of ACL 2023. (CCF A)

[PDF]

 

Lexical Complexity Controlled Sentence Generation for Language Learning

Jinran Nie, Liner Yang, Yun Chen, Cunliang Kong, Junhui Zhu, Erhong Yang. In Proceedings of CCL 2023. (Best English paper)

[PDF]

 

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation

Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang. In Proceedings of EMNLP 2022. (CCF B)

[PDF]

 

Multilingual Sentence Transformer as A Multilingual Word Aligner

Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen*In Findings of EMNLP 2022. (short, CCF B)

[PDF]

 

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation

Guanhua Chen, Shuming Ma, Yun Chen*, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. In Proceedings of ACL 2022. (CCF A)

[PDF]

 

Multitasking Framework for Unsupervised Simple Definition Generation

Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang. In Proceedings of ACL 2022. (CCF A)

[PDF]

 

Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders 

Guanhua Chen, Shuming Ma, Yun Chen*, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. In Proceedings of EMNLP 2021. (CCF B)

[PDF]

 

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance 

Guanhua Chen, Yun Chen*, Victor O.K. Li. In Proceedings of AAAI 2021. (CCF A)

[PDF]

 

Accurate Word Alignment Induction from Neural Machine Translation

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu. In Proceedings of EMNLP 2020. (CCF B)

[PDF]

 

Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation

Guanhua Chen, Yun Chen*, Yong Wang, Victor O.K. Li. In Proceedings of IJCAI 2020. (CCF A)

[PDF]

 

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu. In Proceedings of ACL 2020. (CCF A)

[PDF]

 

Reinforced Zero-shot Cross-lingual Neural Headline Generation

Yana A, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B)

[LINK]

 

Incorporating Sememes into Chinese Definition Modeling.

Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B)

[LINK]

 

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.

Yun Chen, Victor O.K. Li, Kyunghyun Cho, and Samuel R. Bowman. In Proceedings of EMNLP 2018. (CCF B)

[PDF]

 

Meta-Learning for Low-Resource Neural Machine Translation.

Jiatao Gu, Yong Wang, Yun Chen, Victor O.K. Li, and Kyunghyun Cho. In Proceedings of EMNLP 2018. (CCF B)

[PDF]

 

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game.

Yun Chen, Yang Liu, and Victor O.K. Li. In Proceedings of AAAI 2018. (CCF A)

[PDF]

 

Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning.

Yun Chen, Kyunghyun Cho, Samuel R. Bowman, and Victor O.K. Li. ICLR workshop, 2018.

[PDF]

 

Zero-shot cross-lingual neural headline generation.

Ayana, Shen Shiqi, Yun Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2018. (CCF B)

[LINK]

 

A Teacher-Student Framework for Zero-Resource Neural Machine Translation.

Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li. In Proceedings of ACL 2017. (CCF A)

[PDF]

 

最近更新于 2022-10

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