A new paper from arXiv proposes a framework using large language models to automatically rewrite news headlines for higher click-through rates while explicitly avoiding clickbait patterns. The system optimizes for engagement signals while preserving factual accuracy and semantic fidelity to the original article. Researchers evaluate the approach against both human-written headlines and standard LLM rewrites.