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By treating slide design as an inverse planning problem, SPIRE reveals latent design intents that traditional methods miss, leading to superior personalization outcomes.
Stop wasting compute on fine-tuning datasets with hidden capability gaps: GoalCover lets you diagnose and fix them *before* training.
Forget static rubrics: SibylSense adaptively learns rubrics at inference time, leading to more discriminative rewards and better RL performance in open-ended generation tasks.
