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Emo-Jev: Probabilistic Reasoning for Emotion Classification with Jev
Author1, Author2, Author3, Author4, Author5
reasoningemotion classificationprobabilistic models
2610.08829
Builder Relevance
1h ago70%
Abstract
Emo-Jev introduces a training-free framework for emotion classification using probabilistic reasoning.
Reality Card
Core Claim
Emo-Jev outperforms standard Jev classification with a 67.28% average macro-F1 score while maintaining lower latency and cost.
Method / Result
Standard Jev achieved 62.93% average macro-F1 versus 67.28% for the strongest LLM baseline.
Limitations
The framework's effectiveness against leading LLMs remains an open question.
Paper to code
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