Zinan Tang

According to our database, Zinan Tang authored at least 7 papers between 2025 and 2026.

Collaborative distances:

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

2026

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once.

Zhuoshi Pan, Qizhi Pei, Yu Li, Zinan Tang, Qiyao Sun, H. Vicky Zhao, Conghui He, Lijun Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value.

Mengzhang Cai, Xin Gao, Yu Li, Honglin Lin, Zheng Liu, Zhuoshi Pan, Qizhi Pei, Xiaoran Shang, Mengyuan Sun, Zinan Tang, Xiaoyang Wang, Zhanping Zhong, Yun Zhu, Dahua Lin, Conghui He, Lijun Wu

CoRR, December, 2025

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning.

Qizhi Pei, Zhuoshi Pan, Honglin Lin, Xin Gao, Yu Li, Zinan Tang, Conghui He, Rui Yan, Lijun Wu

CoRR, September, 2025

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis.

Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He

CoRR, April, 2025

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning.

Zinan Tang, Xin Gao, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu, Conghui He, Lijun Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs.

Zhuoshi Pan, Yu Li, Honglin Lin, Qizhi Pei, Zinan Tang, Wei Wu, Chenlin Ming, H. Vicky Zhao, Conghui He, Lijun Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis.

Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025