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Submitted: 04 February 2026 You are already at the latest version This paper introduces DEEP-PNHG (Dynamic Entity-Enhanced Personalized Headline Generation), a novel framework addressing critical challenges in personalized news headline generation, namely dynamically evolving user interests, factual consistency, and informativeness. Existing methods often struggle with these aspects.
Submitted: 22 December 2025 You are already at the latest version The immutable nature of smart contracts necessitates rigorous auditing, especially for ERC compliance, to prevent significant economic losses. While automated tools, particularly those combining Large Language Models (LLMs) with symbolic execution, have improved detection, they often suffer from false positives, false negatives, and insufficient interpretability.
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