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Emotion recognition can be dramatically improved by focusing on the latent dialogue-level affective atmosphere, leading to more accurate predictions even in emotionally unstable contexts.
Pair-level judgement in LLMs can extract emotion-cause relations with up to 98.1% accuracy, outperforming broader dialogue-level generation methods.