Zhang, Zhenduo

1. Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
   2025/10/21 by Ling Team, Shen, Anqi, Li, Baihui +101 · 2 voices · 6 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
2. Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
   2025/03/22 by Codefuse, Team, Ling, : +30 · 6 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG)
3. Are KANs Effective for Multivariate Time Series Forecasting?
   2024/08/21 by Xiao Han, Han, Xiao, Xinfeng Zhang +7 · 3 citations
   Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods
4. Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
   2025/05/22 by Cheng, Xiaoxue, Li, Junyi, Zhang, Zhenduo +4 · 5 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
5. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs
   2025/06/17 by Ling Team, Hu, Bin, Chen, Cai +43 · 5 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences