Training‑Free Fusion Lets Generalist LLMs Plug Into Specialist Knowledge
Divergence Decoding lets a specialist LLM hand off to a generalist whenever their token distributions diverge, using Jensen‑Shannon divergence as a safety signal. This training‑free routing injects strong reasoning into domain‑specific answers and outperforms both pure specialist and pure generalist models on scientific benchmarks like GPQA and ChemBench.