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SeRIn reveals that isolating modality refinement from cross-modal integration can significantly boost sentiment analysis performance, challenging conventional fusion methods.
Verbalization, not knowledge, drives fabrication in LLMs, revealing a critical leverage point for improving mathematical reasoning accuracy.
