Zonghan Yang (杨宗瀚)

      @article{yang2024react,
        title={ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy},
        author={Yang, Zonghan and Li, Peng and Yan, Ming and Zhang, Ji and Huang, Fei and Liu, Yang.},
        journal={arXiv preprint arXiv:2403.14589},
        year={2024},
      }
    

      @article{liu2024panda,
        title={PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs},
        author={Liu, An and Yang, Zonghan and Zhang, Zhenhe and Hu, Qingyuan and Li, Peng and Yan, Ming and Zhang, Ji and Huang, Fei and Liu, Yang.},
        journal={arXiv preprint arXiv:2402.12835},
        year={2024},
      }
    

      @article{lei2024scaffolding,
        title={OneBit: Towards Extremely Low-bit Large Language Models},
        author={Xu, Yuzhuang and Han, Xu and Yang, Zonghan and Wang, Shuo and Zhu, Qingfu and Liu, Zhiyuan and Liu, Weidong and Che, Wanxiang},
        journal={arXiv preprint arXiv:2402.11295},
        year={2024},
      }
    

      @article{lei2024scaffolding,
        title={Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models},
        author={Lei, Xuanyu and Yang, Zonghan and Chen, Xinrui and Li, Peng and Liu, Yang},
        journal={arXiv preprint arXiv:2402.12058},
        year={2024},
      }
    

      @article{yang2024towards,
        title = {Towards Unified Alignment Between Agents, Humans, and Environment},
        author = {Yang, Zonghan and Liu, An and Liu, Zijun and Liu, Kaiming and Xiong, Fangzhou and Wang, Yile and Yang, Zeyuan and Hu, Qingyuan and Chen, Xinrui and Zhang, Zhenhe and Luo, Fuwen and Guo, Zhicheng and Li, Peng and Liu, Yang},
        journal={arXiv preprint arXiv:2402.07744},
        year = {2024}
      }
    

      @inproceedings{
        zhou2023bridging,
        title={Exploring the Impact of Model Scaling on Parameter-Efficient Tuning},
        author={Su, Yusheng and Chan, Chi-Min and Cheng, Jiali and Qin, Yujia and Lin, Yankai and Hu, Shengding and Yang, Zonghan and Ding, Ning and Sun, Xingzhi and Xie, Guotong and Liu, Zhiyuan and Sun, Maosong},
        booktitle={Proceedings of EMNLP},
        year={2023}
      }
    

      @article{YANG202398,
        title = {Restricted orthogonal gradient projection for continual learning},
        journal = {AI Open},
        volume = {4},
        pages = {98-110},
        year = {2023},
        issn = {2666-6510},
        doi = {https://doi.org/10.1016/j.aiopen.2023.08.010},
        url = {https://www.sciencedirect.com/science/article/pii/S2666651023000128},
        author = {Zeyuan Yang and Zonghan Yang and Yichen Liu and Peng Li and Yang Liu},
        keywords = {Continual learning, Gradient projection, Forward knowledge transfer}
        }
    

      @inproceedings{
          zhou2023bridging,
          title={Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models},
          author={Zhou, Qinhong and Yang, Zonghan and Li, Peng and Liu, Yang},
          booktitle={Proceedings of ACL},
          year={2023}
        }
    

      @inproceedings{
          yang2023improving,
          title={Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics},
          author={Yang, Zonghan and Li, Peng and Pang, Tianyu and Liu, Yang},
          booktitle={Proceedings of the 37th International Conference on Machine Learning},
          year={2023}
        }
    

      @inproceedings{
          yang2023unified,
          title={Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization},
          author={Yang, Zonghan and Yi, Xiaoyuan and Li, Peng and Liu, Yang and Xie, Xing},
          booktitle={The Eleventh International Conference on Learning Representations },
          year={2023},
          url={https://openreview.net/forum?id=FvevdI0aA_h}
        }
    

      @inproceedings{
        yang2022acloser,
        title={A Closer Look at the Adversarial Robustness of Deep Equilibrium Models},
        author={Yang, Zonghan and Pang, Tianyu and Liu, Yang},
        booktitle={Advances in Neural Information Processing Systems},
        year={2022}
      }
    

      @article{ding2022delta,
        title = {Parameter-efficient Fine-tuning of Large-scale Pre-trained Language Models},
        titleb = {Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models},
        preview = {NMI.jpg},
        bibtex_show = {true},
        abbr = {Nat. Mach. Intell.},
        code = {https://github.com/thunlp/OpenDelta},
        author = {Ding, Ning and Qin, Yujia and Yang, Guang and Wei, Fuchao and Yang, Zonghan and Su, Yusheng and Hu, Shengding and Chen, Yulin and Chan, Chi-Min and Chen, Weize and Yi, Jing and Zhao, Weilin and Liu, Zhiyuan and Zheng, Hai-Tao and Chen, Jianfei and Liu, Yang and Tang, Jie and Li, Juanzi and Sun, Maosong},
        journal = {Nature Machine Intelligence},
        selected = {true},
        arxiv = {2203.06904},
        html = {https://www.nature.com/articles/s42256-023-00626-4},
        pdf = {https://www.nature.com/articles/s42256-023-00626-4},
        award = { 
     Cover Article of Nature Machine Intelligence's March Issue  },
        year = {2023}
      }
    

      @inproceedings{
        yang2022on,
        title={On Robust Prefix-Tuning for Text Classification},
        author={Zonghan Yang and Yang Liu},
        booktitle={International Conference on Learning Representations},
        year={2022},
        url={https://openreview.net/forum?id=eBCmOocUejf}
      }
    

    @inproceedings{jiao-etal-2021-alternated,
      title = "Alternated Training with Synthetic and Authentic Data for Neural Machine Translation",
      author = "Jiao, Rui  and
        Yang, Zonghan  and
        Sun, Maosong  and
        Liu, Yang",
      booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
      month = aug,
      year = "2021",
      address = "Online",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2021.findings-acl.160",
      doi = "10.18653/v1/2021.findings-acl.160",
      pages = "1828--1834",
    }
  

    @article{TAN20205,
      title = {Neural machine translation: A review of methods, resources, and tools},
      journal = {AI Open},
      volume = {1},
      pages = {5-21},
      year = {2020},
      issn = {2666-6510},
      doi = {https://doi.org/10.1016/j.aiopen.2020.11.001},
      url = {https://www.sciencedirect.com/science/article/pii/S2666651020300024},
      author = {Zhixing Tan and Shuo Wang and Zonghan Yang and Gang Chen and Xuancheng Huang and Maosong Sun and Yang Liu},
      keywords = {neural Machine translation, Attention mechanism, Deep learning, Natural language processing},
    }
  

    @InProceedings{pmlr-v119-yang20g,
      title = 	 {Interpolation between Residual and Non-Residual Networks},
      author =       {Yang, Zonghan and Liu, Yang and Bao, Chenglong and Shi, Zuoqiang},
      booktitle = 	 {Proceedings of the 37th International Conference on Machine Learning},
      pages = 	 {10736--10745},
      year = 	 {2020},
      editor = 	 {III, Hal Daumé and Singh, Aarti},
      volume = 	 {119},
      series = 	 {Proceedings of Machine Learning Research},
      month = 	 {13--18 Jul},
      publisher =    {PMLR},
      pdf = 	 {http://proceedings.mlr.press/v119/yang20g/yang20g.pdf},
      url = 	 {https://proceedings.mlr.press/v119/yang20g.html},
    }
  

    @inproceedings{yang-etal-2019-reducing,
      title = "Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach",
      author = "Yang, Zonghan  and
        Cheng, Yong  and
        Liu, Yang  and
        Sun, Maosong",
      booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
      month = jul,
      year = "2019",
      address = "Florence, Italy",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/P19-1623",
      doi = "10.18653/v1/P19-1623",
      pages = "6191--6196",
    }
  

    @inproceedings{ijcai2018-633,
      title     = {Chinese Poetry Generation with a Working Memory Model},
      author    = {Xiaoyuan Yi and Maosong Sun and Ruoyu Li and Zonghan Yang},
      booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
                   Artificial Intelligence, {IJCAI-18}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},             
      pages     = {4553--4559},
      year      = {2018},
      month     = {7},
      doi       = {10.24963/ijcai.2018/633},
      url       = {https://doi.org/10.24963/ijcai.2018/633},
    }