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Henan Polytechnic University
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PRIME reveals that preserving the original Dense path while adding conditional residuals can significantly enhance CTR model performance without sacrificing stability.
LLMs, like humans, exhibit a "frequency bias," performing better when prompted and fine-tuned with more common textual expressions.
