Yun Chen

According to our database, Yun Chen authored at least 51 papers between 2016 and 2025.

Collaborative distances:

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

2025

ADAMIX: Adaptive Mixed-Precision Delta-Compression with Quantization Error Optimization for Large Language Models.

Boya Xiong, Shuo Wang, Weifeng Ge, Guanhua Chen, Yun Chen

CoRR, June, 2025

Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers.

Yutao Hou, Zeguan Xiao, Fei Yu, Yihan Jiang, Xuetao Wei, Hailiang Huang, Yun Chen, Guanhua Chen

CoRR, June, 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, Jianqiao Yu, Yun Chen, Guanhua Chen

CoRR, April, 2025

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters.

Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Xuetao Wei, Hailiang Huang, Guanhua Chen, Yun Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy.

Zhiwen Ruan, Yixia Li, He Zhu, Longyue Wang, Weihua Luo, Kaifu Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.

He Zhu, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li, Wenjia Zhang, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.

Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, James Jianqiao Yu, Yun Chen, Guanhua Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions.

Yutao Hou, Yajing Luo, Zhiwen Ruan, Hongru Wang, Weifeng Ge, Yun Chen, Guanhua Chen

CoRR, 2024

SoP: Unlock the Power of Social Facilitation for Automatic Jailbreak Attack.

Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Hailiang Huang, Guanhua Chen, Yun Chen

CoRR, 2024

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Zeguan Xiao, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

CoRR, 2024

Tastle: Distract Large Language Models for Automatic Jailbreak Attack.

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen

CoRR, 2024

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, Yang Liu, Maosong Sun, Erhong Yang

CoRR, 2024

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models.

Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation.

Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Distract Large Language Models for Automatic Jailbreak Attack.

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

TADIS: Steering Models for Deep-Thinking about Demonstration Examples.

Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen

CoRR, 2023

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.

Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen

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

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Controllable data synthesis method for grammatical error correction.

Liner Yang, Chengcheng Wang, Yun Chen, Yongping Du, Erhong Yang

Frontiers Comput. Sci., 2022

LitMind Dictionary: An Open-Source Online Dictionary.

Cunliang Kong, Xuezhi Fang, Liner Yang, Yun Chen, Erhong Yang

CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie

CoRR, 2022

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

Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multilingual Sentence Transformer as A Multilingual Word Aligner.

Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multitasking Framework for Unsupervised Simple Definition Generation.

Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

YACLC: A Chinese Learner Corpus with Multidimensional Annotation.

Yingying Wang, Cunliang Kong, Liner Yang, Yijun Wang, Xiaorong Lu, Renfen Hu, Shan He, Zhenghao Liu, Yun Chen, Erhong Yang, Maosong Sun

CoRR, 2021

Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation.

Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

CoRR, 2021

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

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

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance.

Guanhua Chen, Yun Chen, Victor O. K. Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Incorporating Sememes into Chinese Definition Modeling.

Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Reinforced Zero-Shot Cross-Lingual Neural Headline Generation.

Ayana, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Toward Cross-Lingual Definition Generation for Language Learners.

Cunliang Kong, Liner Yang, Tianzuo Zhang, Qinan Fan, Zhenghao Liu, Yun Chen, Erhong Yang

CoRR, 2020

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation.

Wei Peng, Chongxuan Huang, Tianhao Li, Yun Chen, Qun Liu

CoRR, 2020

A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation.

Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu

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

Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation.

Guanhua Chen, Yun Chen, Yong Wang, Victor O. K. Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurate Word Alignment Induction from Neural Machine Translation.

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu

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

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

Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation?

Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu

CoRR, 2019

Controllable Data Synthesis Method for Grammatical Error Correction.

Chencheng Wang, Liner Yang, Yun Chen, Yongping Du, Erhong Yang

CoRR, 2019

2018

Zero-Shot Cross-Lingual Neural Headline Generation.

Shiqi Shen, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2018

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

Yun Chen, Kyunghyun Cho, Samuel R. Bowman, Victor O. K. Li

Proceedings of the 6th International Conference on Learning Representations, 2018

Meta-Learning for Low-Resource Neural Machine Translation.

Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.

Yun Chen, Victor O. K. Li, Kyunghyun Cho, Samuel R. Bowman

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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

Yun Chen, Yang Liu, Victor O. K. Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data.

Victor O. K. Li, Jacqueline C. K. Lam, Yun Chen, Jiatao Gu

Proceedings of the 2017 IEEE Global Communications Conference, 2017

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

Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Click-through-Based Word Embedding for Large Scale Image Retrieval.

Yun Chen, Victor O. K. Li

Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016