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On-policy distillation excels at teaching LLMs to *use* their existing knowledge for complex reasoning, but doesn't actually teach them *new facts*.
Pretrained scientific foundation models can overcome massive chemical and instrumentation shifts entirely at test-time by using reference-guided retrieval to recalibrate latent predictions on the fly without query supervision.
DentAgent outperforms senior specialists by 17.3 percentage points in multi-label diagnosis, revolutionizing multimodal dental reasoning with traceable evidence integration.
AI research agents, despite their potential, currently excel at incremental improvements within established research areas, but struggle to generate truly novel scientific directions.