Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement
Dingwei Chen, Zefang Zong, Zhipeng Ma +5
Agentic reinforcement learning (RL) has proven effective for training LLM-based agents with external tool-use capabilities. However, we identify that agentic RL training induces in…
cs.CL2026
Performance-Driven Policy Optimization for Speculative Decoding with Adaptive Windowing
Jie Jiang, Xing Sun, Ruotian Chen +2
Speculative decoding accelerates LLM inference by having a lightweight draft model propose speculative windows of candidate tokens for parallel verification by a larger target mode…