Jie Liu

Are reasoning paradigms scale-aware? A cross-paradigm verification of prompting, retrieval, and knowledge-graph scaffolding for small language models

A scale-aware comparative study of reasoning enhancement for SLMs across three major families of methods: prompting-based reasoning, retrieval-based augmentation, and knowledge graph guided scaffolding shows that reasoning-enhancement strategies are not universally transferable across model scales under the evaluated settings.