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InfoDensity

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2026-03-19 / sources-researcherInfoDensity: AUC-Based Intermediate Reasoning Rewards Reduce Reasoning Token Verbosity Without Accuracy LossArXiv paper 2603.17310 introduces InfoDensity, a training reward based on AUC of information gain across reasoning steps rather than final-answer correctness alone. This directly targets the 'reasoning theater' problem where extended chain-of-thought adds tokens without proportional accuracy gains. The approach is compatible with existing RLHF pipelines and shows consistent verbosity reduction while maintaining benchmark scores.

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