Zonghan Yang

According to our database, Zonghan Yang authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models.

Xuanyu Lei, Zonghan Yang, Xinrui Chen, Peng Li, Yang Liu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy.

Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, 2024

OneBit: Towards Extremely Low-bit Large Language Models.

Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

CoRR, 2024

Towards Unified Alignment Between Agents, Humans, and Environment.

Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

CoRR, 2024

Position: Towards Unified Alignment Between Agents, Humans, and Environment.

Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs.

An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

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

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

Restricted orthogonal gradient projection for continual learning.

Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu

AI Open, January, 2023

Adversarial Robust Memory-Based Continual Learner.

Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu

CoRR, 2023

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics.

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

CoRR, 2023

Fair k-Center: a Coreset Approach in Low Dimensions.

Jinxiang Gan, Mordecai J. Golin, Zonghan Yang, Yuhao Zhang

CoRR, 2023

Restricted Orthogonal Gradient Projection for Continual Learning.

Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu

CoRR, 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics.

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.

Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs.

Enze Sun, Zonghan Yang, Yuhao Zhang

Proceedings of the 31st Annual European Symposium on Algorithms, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models.

Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu

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

2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

A Closer Look at the Adversarial Robustness of Deep Equilibrium Models.

Zonghan Yang, Tianyu Pang, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Robust Prefix-Tuning for Text Classification.

Zonghan Yang, Yang Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation.

Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu

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

2020

Neural machine translation: A review of methods, resources, and tools.

Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu

AI Open, 2020

Interpolation between Residual and Non-Residual Networks.

Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach.

Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Chinese Poetry Generation with a Working Memory Model.

Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018