Chuangen Gao

Streamlining Long-Chain Reasoning via Differentiable Hierarchical Fusion

While large-scale reasoning models have achieved remarkable performance gains by scaling test-time computation through extended Chain-of-Thought (CoT) sequences, their practical utility is severely constrained by protracted inference lengths and high computational latency. In this paper, we present