Chinese Poetry Generation with a Working Memory Model. - Xiaoyuan Yi; Maosong Sun 001; Ruoyu Li; Zonghan Yang (IJCAI, 2018)

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. - Zonghan Yang; Yong Cheng; Yang Liu 005; Maosong Sun 001 (ACL (1), 2019)

Interpolation between Residual and Non-Residual Networks. - Zonghan Yang; Yang Liu 005; Chenglong Bao; Zuoqiang Shi (ICML, 2020)

Neural machine translation: A review of methods, resources, and tools. - Zhixing Tan; Shuo Wang 013; Zonghan Yang; Gang Chen 039; Xuancheng Huang; Maosong Sun 001; Yang Liu 005 (AI Open, 2020)

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. - Rui Jiao; Zonghan Yang; Maosong Sun 001; Yang Liu 005 (ACL/IJCNLP (Findings), 2021)

On Robust Prefix-Tuning for Text Classification. - Zonghan Yang; Yang Liu (ICLR, 2022)

A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. - Zonghan Yang; Tianyu Pang; Yang Liu 005 (NeurIPS, 2022)

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (CoRR, 2022)

Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. - Qinhong Zhou; Zonghan Yang; Peng Li 030; Yang Liu 005 (ACL (1), 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 002; Xingzhi Sun 002; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs. - Enze Sun 001; Zonghan Yang; Yuhao Zhang 001 (ESA, 2023)

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. - Zonghan Yang; Xiaoyuan Yi; Peng Li 030; Yang Liu 005; Xing Xie 001 (ICLR, 2023)

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. - Zonghan Yang; Peng Li 030; Tianyu Pang; Yang Liu 005 (ICML, 2023)

Restricted Orthogonal Gradient Projection for Continual Learning. - Zeyuan Yang 002; Zonghan Yang; Peng Li 030; Yang Liu 005 (CoRR, 2023)

Fair k-Center: a Coreset Approach in Low Dimensions. - Jinxiang Gan; Mordecai J. Golin; Zonghan Yang; Yuhao Zhang 001 (CoRR, 2023)

Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics. - Zonghan Yang; Peng Li 030; Tianyu Pang; Yang Liu 005 (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 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Adversarial Robust Memory-Based Continual Learner. - Xiaoyue Mi; Fan Tang; Zonghan Yang; Danding Wang; Juan Cao 001; Peng Li 030; Yang Liu 005 (CoRR, 2023)

Restricted orthogonal gradient projection for continual learning. - Zeyuan Yang 002; Zonghan Yang; Yichen Liu; Peng Li 030; Yang Liu 005 (AI Open, 2023)

Parameter-efficient fine-tuning of large-scale pre-trained language models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (Nat. Mac. Intell., 2023)

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. - An Liu; Zonghan Yang; Zhenhe Zhang; Qingyuan Hu; Peng Li 030; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Yang Liu 005 (ACL (Findings), 2024)

Position: Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (ICML, 2024)

OneBit: Towards Extremely Low-bit Large Language Models. - Yuzhuang Xu; Xu Han 007; Zonghan Yang; Shuo Wang 013; Qingfu Zhu; Zhiyuan Liu 001; Weidong Liu; Wanxiang Che (NeurIPS, 2024)

Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (CoRR, 2024)

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models. - Xuanyu Lei; Zonghan Yang; Xinrui Chen; Peng Li 030; Yang Liu 005 (CoRR, 2024)

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. - Zonghan Yang; Peng Li 030; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Yang Liu 005 (CoRR, 2024)

AIGS: Generating Science from AI-Powered Automated Falsification. - Zijun Liu; Kaiming Liu; Yiqi Zhu; Xuanyu Lei; Zonghan Yang; Zhenhe Zhang; Peng Li 030; Yang Liu 005 (CoRR, 2024)

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models. - Xuanyu Lei; Zonghan Yang; Xinrui Chen; Peng Li; Yang Liu (COLING, 2025)

The Subinterval Cover Problem. - Kelin Luo; Chenran Yang; Zonghan Yang; Yuhao Zhang 001 (IJTCS-FAW, 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages. - Yongdong chi; Hanqing Wang; Zonghan Yang; Jian Yang; Xiao Yan; Yun Chen; Guanhua Chen (CoRR, 2025)