Papers with data-driven framework

2 papers
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights (2024.findings-emnlp)

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Challenge: despite its importance, little work exists on modelling rigour in scientific writing . despite widespread use of term, scientific literature lacks definition of rigor .
Approach: They propose a framework to automatically identify and define rigour criteria and assess their relevance in scientific writing.
Outcome: The proposed framework can be tailored to the evaluation of scientific rigour for different areas.
Deriving Character Logic from Storyline as Codified Decision Trees (2026.acl-long)

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Challenge: Existing behavioral profiles are unstructured, weakly validated, and unusable . existing models are weakly valid, leading to brittle agent behavior . Using codified decision trees, we show that CDT outperforms previous methods .
Approach: They propose a data-driven framework that induces an executable decision structure from narrative data.
Outcome: The proposed framework outperforms human-written profiles and prior profiles on multiple benchmarks.

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