SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
Published:
Zelin Tan, Yiqun Zhang, Hao Li, Zhiyao Cui, Hejia Geng, et al.
Publications
You can also find my articles on my Google Scholar profile.
PAPO: Stabilizing Rubric Integration Training via Decoupled Advantage Normalization
Published:
Zelin Tan, Zhouliang Yu, Bohan Lin, Zijie Geng, Hejia Geng, et al.
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
ACL 2026 Main Conference
Zelin Tan, Hejia Geng, Xiaohang Yu, Mulei Zhang, Guancheng Wan, et al.
AgentPanel: Toward a New Paradigm for Human-AI Collaboration in Exploring Scientific Questions
Published:
Zhiyao Cui, Qianyi Wang, Haoyang Yan, Yiqun Zhang, Siyue Ren, Hangfan Zhang, Zelin Tan, et al.
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
Published:
Lei Bai, Zongsheng Cao, Yang Chen, et al., including Zelin Tan.
Parametric Skills
Published:
Xuan Zhao, Haonan He, Qingyu Yang, Minglei Li, Jingqi Ye, Zelin Tan, Bo Wan, and Peng Ye.
Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents
Published:
Heng Zhou, Zelin Tan, Zhemeng Zhang, Yutao Fan, Yibing Lin, et al.
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Published:
Xiangyi Li, Yimin Liu, Wenbo Chen, et al., including Zelin Tan.
AgentAsk: Multi-Agent Systems Need to Ask
ACL 2026 Main Conference
Bohan Lin, Kuo Yang, Zelin Tan, Yingchuan Lai, Chen Zhang, et al.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Transactions on Machine Learning Research (TMLR)
Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, et al.