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
EMNLP 2026 Main Conference
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
DAI 2026 Oral
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
Public Technical Report
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
NeurIPS 2026
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.