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Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies

arXiv cs.CL · 5d ago Cached

This paper presents a zero-shot evaluation of three LLMs (Claude, GPT-5.4, Gemini) on a 13-class emotion classification task, finding no model exceeds 39.9% accuracy and revealing systematic failures on specific emotions such as love, confusion, and shame.

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