Papers with Contextual Diversity Measure

1 papers
Contextual Diversity Measure (CDM) for Controllable Story Generation in Large Language Models (2026.acl-srw)

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Challenge: Existing studies on controllable text generation focus on controlling attributes such as sentiment, writing style, and writing style.
Approach: They introduce a metric that quantifies semantic diversity for scenario generation under fixed abstract semantic constraints and validate it through controlled experiments.
Outcome: The proposed metric achieves excellent discrimination accuracy (100% and 91.9%, respectively), with discriminative power up to 5.5 greater than the best baseline.

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