Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens

ArXi:2510.08222v2 Announce Type: replace Due to their inherent complexity, reasoning tasks have long been regarded as rigorous benchmarks for assessing the capabilities of machine learning models, especially large language models (LLMs). Although humans can solve these tasks with ease, existing models, even after extensive pre-