Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
Researchers discover a unified valence axis that functions across text, audio, and brain data with minimal training.
Inside a modern language model sits a single internal direction that tracks how positive or negative a sentence feels. We show how to find this valence axis (V-axis) from just 9 emotion category names plus 50 short narrative paragraphs per emotion -- about 1,500 fewer labels than...
ArXiv CS.CL
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This research reveals a universal, label-efficient method for detecting emotional valence that functions across disparate data modalities like vision and audio. By uncovering a shared latent axis for sentiment, it suggests that foundational models possess an underlying structure for human affect that can be unlocked with minimal supervision.
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