2 papers
cs.CL2026
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models
Chenchen Zhang
Reinforcement learning (RL) for large language models (LLMs) increasingly relies on sparse outcome rewards, yet such rewards say little about which token, reasoning step, tool call…
cs.CL2025
Reinforcement Learning on Pre-Training Data
Siheng Li, Kejiao Li, Zenan Xu +33
The growing disparity between the exponential scaling of computational resources and the finite growth of high-quality text data now constrains conventional scaling approaches for…