Xin-Yue Zeng

SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance

Long-horizon reasoning remains a central challenge for large language models (LLMs) under sparse-reward regimes. We argue that this brittleness arises from two biases induced by complex reasoning spaces: an exploration bias, where models are drawn toward locally plausible but structurally unstable branches, and a compo...