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cs.LG2026
Does RL Expand the Capability Boundary of LLM Agents? A PASS@(k,T) Analysis
Zhiyuan Zhai, Wenjing Yan, Xiaodan Shao +1
Does reinforcement learning genuinely expand what LLM agents can do, or merely make them more reliable? For static reasoning, recent work answers the second: base and RL pass@k cur…
cs.LG2026
FISMO: Fisher-Structured Momentum-Orthogonalized Optimizer
Chenrui Xu, Wenjing Yan, Ying-Jun Angela Zhang
Training large-scale neural networks requires solving nonconvex optimization where the choice of optimizer fundamentally determines both convergence behavior and computational effi…