Papers with token-level baselines

1 papers
Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility (2026.acl-long)

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Challenge: Existing generative engine optimization approaches rely on token-level text rewriting, offering limited interpretability and weak control over the trade-off between visibility and content quality.
Approach: They propose a feature-level, multi-objective optimization framework that abstracts webpages into interpretable structural, content, and linguistic properties.
Outcome: The proposed framework outperforms token-level methods in citation visibility and content quality on three generative engines.

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