From Fragmented Literature to Reusable Knowledge: Concept-Conditioned Information Integration through LLMs
Recent scientific language models achieve strong performance by scaling model size and training on large domain-specific corpora; however, they primarily rely on raw textual data and lack explicit mechanisms for knowledge abstraction and reuse. In this paper, we present StemForce-LM, a framework for transforming unstru...