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MetaboLLM-GIN not only outperforms conventional models in predicting stress hyperglycemia but also transforms biochemical knowledge into interpretable metabolite graphs.
Seemingly strong NLI checkers can actually *hurt* medical RAG training by collapsing the RL gradient or triggering reward-hacking cascades like ultra-short answers and search avoidance.
