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Zonghan Yang
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2020 – today
- 2024
- [c13]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: 10960-10977 - [c12]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:
Position: Towards Unified Alignment Between Agents, Humans, and Environment. ICML 2024 - [i20]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 abs/2402.07744 (2024) - [i19]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 abs/2402.11295 (2024) - [i18]Xuanyu Lei, Zonghan Yang, Xinrui Chen, Peng Li, Yang Liu:
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models. CoRR abs/2402.12058 (2024) - [i17]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 abs/2402.12835 (2024) - [i16]Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR abs/2403.14589 (2024) - 2023
- [j3]Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu:
Restricted orthogonal gradient projection for continual learning. AI Open 4: 98-110 (2023) - [j2]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): 220-235 (2023) - [c11]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: 13234-13248 - [c10]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: 15062-15078 - [c9]Enze Sun, Zonghan Yang, Yuhao Zhang:
Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs. ESA 2023: 97:1-97:14 - [c8]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR 2023 - [c7]Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu:
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML 2023: 39349-39364 - [i15]Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu:
Restricted Orthogonal Gradient Projection for Continual Learning. CoRR abs/2301.12131 (2023) - [i14]Jinxiang Gan, Mordecai J. Golin, Zonghan Yang, Yuhao Zhang:
Fair k-Center: a Coreset Approach in Low Dimensions. CoRR abs/2302.09911 (2023) - [i13]Zonghan Yang, Tianyu Pang, Yang Liu:
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. CoRR abs/2306.01429 (2023) - [i12]Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu:
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics. CoRR abs/2306.01435 (2023) - [i11]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 abs/2306.02320 (2023) - [i10]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 abs/2306.08909 (2023) - [i9]Enze Sun, Zonghan Yang, Yuhao Zhang:
Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs. CoRR abs/2306.17241 (2023) - [i8]Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu:
Adversarial Robust Memory-Based Continual Learner. CoRR abs/2311.17608 (2023) - 2022
- [c6]Zonghan Yang, Yang Liu:
On Robust Prefix-Tuning for Text Classification. ICLR 2022 - [c5]Zonghan Yang, Tianyu Pang, Yang Liu:
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. NeurIPS 2022 - [e1]Hanqi Yan, Zonghan Yang, Sebastian Ruder, Xiaojun Wan:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Student Research Workshop, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-56-8 [contents] - [i7]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 abs/2203.06904 (2022) - [i6]Zonghan Yang, Yang Liu:
On Robust Prefix-Tuning for Text Classification. CoRR abs/2203.10378 (2022) - [i5]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. CoRR abs/2210.04492 (2022) - 2021
- [c4]Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu:
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 1828-1834 - [i4]Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu:
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. CoRR abs/2106.08582 (2021) - 2020
- [j1]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: 5-21 (2020) - [c3]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. ICML 2020: 10736-10745 - [i3]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. CoRR abs/2006.05749 (2020) - [i2]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 abs/2012.15515 (2020)
2010 – 2019
- 2019
- [c2]Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun:
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. ACL (1) 2019: 6191-6196 - 2018
- [c1]Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang:
Chinese Poetry Generation with a Working Memory Model. IJCAI 2018: 4553-4559 - [i1]Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang:
Chinese Poetry Generation with a Working Memory Model. CoRR abs/1809.04306 (2018)
Coauthor Index
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