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Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics

arXiv cs.AI · 2d ago Cached

This paper analyzes 80,814 papers from five top AI conferences (2017-2025) to show that major AI topics advance through abrupt 'topical phase transitions' rather than gradual growth. It proposes an early-warning signature for detecting such transitions and flags reasoning, agentic AI, and multimodal LLMs as topics to monitor through 2028.

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