Zonghan Yang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Neural Dynamics

Top Venues

Publications

An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. ACL (Findings) (2024)
Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che
OneBit: Towards Extremely Low-bit Large Language Models. CoRR (2024)
An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. CoRR (2024)
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
Towards Unified Alignment Between Agents, Humans, and Environment. CoRR (2024)
Xuanyu Lei, Zonghan Yang, Xinrui Chen, Peng Li, Yang Liu
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models. CoRR (2024)
Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR (2024)
Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu
Restricted orthogonal gradient projection for continual learning. AI Open 4 (2023)
Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. CoRR (2023)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR (2023)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. CoRR (2023)
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
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP (2023)
Jinxiang Gan, Mordecai J. Golin, Zonghan Yang, Yuhao Zhang
Fair k-Center: a Coreset Approach in Low Dimensions. CoRR (2023)
Enze Sun, Zonghan Yang, Yuhao Zhang
Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs. ESA (2023)
Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu
Adversarial Robust Memory-Based Continual Learner. CoRR (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML (2023)
Enze Sun, Zonghan Yang, Yuhao Zhang
Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs. CoRR (2023)
Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. CoRR (2023)
Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. ACL (1) (2023)
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
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5 (3) (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics. CoRR (2023)
Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu
Restricted Orthogonal Gradient Projection for Continual Learning. CoRR (2023)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. NeurIPS (2022)
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
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR (2022)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. CoRR (2022)
Zonghan Yang, Yang Liu
On Robust Prefix-Tuning for Text Classification. ICLR (2022)
Zonghan Yang, Yang Liu
On Robust Prefix-Tuning for Text Classification. CoRR (2022)
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. CoRR (2021)
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. ACL/IJCNLP (Findings) (2021)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. CoRR (2020)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. ICML (2020)
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
Neural Machine Translation: A Review of Methods, Resources, and Tools. CoRR (2020)
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
Neural machine translation: A review of methods, resources, and tools. AI Open 1 (2020)
Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. ACL (1) (2019)
Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang
Chinese Poetry Generation with a Working Memory Model. IJCAI (2018)
Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang
Chinese Poetry Generation with a Working Memory Model. CoRR (2018)