Tianyang Zhan

According to our database, Tianyang Zhan authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning.

Jiayun Wu, Jiashuo Liu, Zhiyuan Zeng, Tianyang Zhan, Tianle Cai, Wenhao Huang

CoRR, December, 2025

Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience.

Jiangjie Chen, Wenxiang Chen, Jiacheng Du, Jinyi Hu, Zhicheng Jiang, Allan Jie, Xiaoran Jin, Xing Jin, Chenggang Li, Wenlei Shi, Zhihong Wang, Mingxuan Wang, Chenrui Wei, Shufa Wei, Huajian Xin, Fan Yang, Weihao Gao, Zheng Yuan, Tianyang Zhan, Zeyu Zheng, Tianxi Zhou, Thomas Hanwen Zhu

CoRR, December, 2025

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models.

Xiangxiang Zhang, Jingxuan Wei, Donghong Zhong, Qi Chen, Caijun Jia, Cheng Tan, Jinming Gu, Xiaobo Qin, Zhiping Liu, Liang Hu, Tong Sun, Yuchen Wu, Zewei Sun, Chenwei Lou, Hua Zheng, Tianyang Zhan, Changbao Wang, Shuangzhi Wu, Zefa Lin, Chang Guo, Sihang Yuan, Riwei Chen, Shixiong Zhao, Yingping Zhang, Gaowei Wu, Bihui Yu, Jiahui Wu, Zhehui Zhao, Qianqian Liu, Ruofeng Tang, Xingyue Huang, Bing Zhao, Mengyang Zhang, Youqiang Zhou

CoRR, August, 2025

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving.

Luoxin Chen, Jinming Gu, Liankai Huang, Wenhao Huang, Zhicheng Jiang, Allan Jie, Xiaoran Jin, Xing Jin, Chenggang Li, Kaijing Ma, Cheng Ren, Jiawei Shen, Wenlei Shi, Tong Sun, He Sun, Jiahui Wang, Siran Wang, Zhihong Wang, Chenrui Wei, Shufa Wei, Yonghui Wu, Yuchen Wu, Yihang Xia, Huajian Xin, Fan Yang, Huaiyuan Ying, Hongyi Yuan, Zheng Yuan, Tianyang Zhan, Chi Zhang, Yue Zhang, Ge Zhang, Tianyun Zhao, Jianqiu Zhao, Yichi Zhou, Thomas Hanwen Zhu

CoRR, July, 2025

2023

Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding.

Shuwei Feng, Tianyang Zhan, Zhanming Jie, Trung Quoc Luong, Xiaoran Jin

CoRR, 2023

2022

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation.

Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering.

Hongjing Zhang, Tianyang Zhan, Ian Davidson

Pattern Recognit. Lett., 2021

A framework for deep constrained clustering.

Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson

Data Min. Knowl. Discov., 2021